Offers “Luxottica”

Expires soon Luxottica

AI & Data Analytics Manager

  • Agordo (Provincia di Belluno)
  • IT development

Job description

WHO WE ARE

 

We are EssilorLuxottica, a global leader in the design, manufacture and distribution of ophthalmic lenses, frames and sunglasses. The Company brings together the complementary expertise of two industry pioneers, one in advanced lens technologies and the other in the craftsmanship of iconic eyewear, to create a vertically integrated business that is uniquely positioned to address the world’s evolving vision needs and the global demand of a growing eyewear industry.

With over 180,000 dedicated employees in 150 countries driving our iconic brands, our people are creative, entrepreneurial and celebrated for their unique perspectives and individuality. Committed to vision, we enable people to “see more and be more” thanks to our innovative designs and lens technologies, exceptional quality and cutting-edge processing methods. Every day we impact the lives of millions by changing the way people see the world.

We are looking for a Senior Data Scientist who will support our manufacturing operations with insights gained from analysing shop floor data and that will be part of a data science or cross-disciplinary team on development projects, typically involving large, complex data sets. The candidate will perform all activities associated with the design, prototype, and development of learning models. He/She will join the Business Process Innovation team whose purpose is to guide the innovation inside Luxottica manufacturing all over the world.

Here some of the responsibilities you will have:

·  Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
·  Mine and analyse data from company databases to drive optimization and improvement of product development.
·  Assess the effectiveness and accuracy of new data sources and data gathering techniques.
·  Develop custom data models and algorithms to apply to data sets.
·  Use predictive modelling to increase process quality.
·  Coordinate with manufacturing teams to implement models and monitor outcomes.

 

PORTRAIT OF A PERFECT CANDIDATE

·  Knowledge of Computer Vision techniques (image processing) and main algorithms (Convolutional Neural Networks, Autoencoders, …)
·  Strong knowledge of statistical computer languages (Python, SQL, etc.). Experience with PyTorch is a plus.
·  Proven Experience with Azure and Databricks Environment is a plus.
·  Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
·  Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
·  Pragmatic and effective, demonstrating skill in defining and delivering value for the organization.
·  Excellent communication skills, presenting results in a clear manner and proposing solutions and strategies to tackle business challenges and influence the stakeholders.
·  Strong critical thinking and problem-solving skills, continuously looking forward to using the knowledge to solve complex business problems.
·  A drive to learn and master new technologies and techniques.
·  Ability to collaborate deeply with Business and IT teams, as a great team player (it is nice to have experience in working in international teams).
·  Have a very good command of English language (it is nice to have command of additional language, for instance, French).
·  STEM bachelor’s or master’s degree.

WHAT ELSE DO YOU NEED TO KNOW?
 
In Luxottica you have the feeling of being part of a “success story”, no matter where you work in the Luxottica world, you can really make an impact.
This position will be located at our Headquarters in Agordo, but you have to expect some business trips either in Italy or abroad.
 
Are you ready for this challenge?
If yes, we are waiting for you!

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Job Segment: Analytics, Ophthalmic, Manager, Management, Healthcare

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