Widen Your Horizons. Join the Next Chapter of Your Career
At EssilorLuxottica, we are committed to empowering our people to grow and succeed. This is your opportunity to take your career to the next level, embrace new challenges, and continue making a difference.
We work for a brighter future, thinking today about the world of tomorrow.
Don’t miss the chance to shape your #FutureInSight with us!
Your role
We are looking for a highly motivated, curious and innovative Data Scientist who will join the EssilorLuxottica’s AI CoE.
Main responsibilities:
* Work on Machine Learning models, Statistical modeling, and real-world data analysis
* Develop and maintain predictive models using deep learning frameworks like Keras, TensorFlow, or PyTorch
* Leverage Python to implement algorithms for tasks such as classification, regression, and clustering
* Explore and experiment with Computer Vision, NLP, and Generative AI technologies
* Collaborate with a cross-functional team to address business challenges using AI, computer vision, and GenAI techniques
* Stay updated with industry trends and advancements in Data Science and AI
* Prepare analysis reports and present them to the business, contributing to the popularization of AI concepts and opportunities
* Collaborate with and support software architects and devops to support industrialization and go-live phases
Main requirements:
* Degree in Engineering, Data Science, Statistics, or related fields
* 5+ years of professional experience in a data science or related role
* Familiarity with statistical modeling and common Machine Learning tasks like classification, regression, and clustering
* Basic knowledge of Computer Vision, NLP, and Generative AI technologies
* Strong proficiency in Python
* Experience with at least one deep learning framework, such as Keras, TensorFlow, or PyTorch
* Practical experience using Git for version control and collaborative coding
* Proactive mindset with a focus on solving business problems and delivering results
* Fluency in English
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.
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