15 ene
L'Oréal
Xico
.
**WANT TO KNOW MORE ABOUT OUR BIG TECH TRANSFORMATION?
**L'Oréal is present in 130 countries on five continents.
For more than a century, L'Oréal has devoted itself solely to one business: beauty; it is now the industry world leader with €29 billion consolidated sales.Today, L'Oréal includes **1700 tech positions** and it's constantly growing.
Especially with our ambition to become the **#1 BeautyTech company**, meaning inventing the beauty of the future while becoming the company of the future.BeautyTech will equip the Group with the key assets it needs to conquer this new world, where Tech has become strategic.To achieve this ambition, L'Oréal needs to continue recruiting **diverse**, **innovative,
skilled** and **passionate** minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications and Infrastructure.
**HOLD ON, WHERE ARE OUR MANNERS?
****WE HAVEN'T PRESENTED OUR TEAM!
**- To stimulate our big transformation, we are transforming out technology teams and have created the Tech Accelerator, a product delivery organization (startup inside the big ship) to deliver transversal use cases that will drive the tech transformation of the group, covering all business and functional domains under a network of international hubs (New York, Paris, Shanghai, Toronto)._- As a Data Scientist and ML Ops specialist working at the intersection of IT and the Tech Accelerator, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies._**INTERESTED?
****THIS IS WHAT YOU WILL DO IN NUTSHELL!
**- Create and deploy innovative solutions based on Machine Learning / Deep Learning for a variety of use cases: analyzing millions of customer reviews with NLP,
creating cross-brand recommendation systems, optimizing marketing campaigns, building a resilient supply chain and much more.- Work in collaboration with teams of internal and external partners with diverse profiles (business stakeholders, data engineers, UX/UI designers, full stack developers) to integrate models into real products.- Provide expertise and share knowledge on datascience projects, inside and outside the team.
**STILL INTERESTED?
****THIS IS WHAT YOU WILL NEED TO SUCCEED!
****First and foremost,** we love people that are curious, collaborative, eager to have an impact and who value innovation, autonomy, and team spirit.
**Requirements**:- You have a strong background in Computer Science, Statistics, Machine Learning,
or a related quantitative field.- You have 1-3 years of experience solving problems with Machine Learning through specialized course work and in the field**Secondly,** in this specific position, it will be important for you to have significant experience in:- _Python and SQL_- _Object-oriented programming_- _The datascience ecosystem: (numpy, scipy, tensorflow, sklearn, etc)._- _Development tools and practices: Git, Docker, Terraform, CI/CD
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.