Data Scientist - Machine Learning Expert

Description de l'offre

For more than a century, L'Oréal has devoted itself solely to one business: beauty . It is a business rich in meaning, as it enables all individuals to express their personalities, gain self-confidence and open up to others. From make-up to hair color, from hair care to skincare and fragrances, our products magnify, beautify, soothe, moisturize, strengthen, rejuvenate... Regardless of a person's age, origin or personality, above all and before all, they enable her or him to care for what is certainly most precious to each man and each woman – and most fragile: the face, the skin, the body… in a word: caring for oneself .

Our research budget reached €794 million in 2015, which represents 3.1% of turnover.

In the last 10 years, our Research budget has increased more rapidly than the Group's sales.

More than 490 patents were registered in 2015. Our workforce consists of 3800 employees , representing about sixty nationalities and thirty different scientific backgrounds (chemistry, physics, biology, dermatology, optics, rheology, IT, statistics, analysis, etc.).

As a data scientist specialized in machine learning, you will join our lab to reinvent our Research & Innovation and the world of beauty thanks to artificial intelligence.

MAIN MISSIONS

·  Find, extract, retrieve, organize and structure data,
·  Define, prototype, use, adapt, develop and industrialize (in coordination with IT) artificial intelligence models in response to our innovation issues,

·  Communicate in order to contribute to the influence of our activity (internally and externally),
·  Publish scientific articles or patents,
·  Take part in conferences.

In your first projects, you will work on images, videos or business data. You will then work on data from connected objects.

PROFILE

Essential skills

·  At least 3 years of experience (or a doctorate) in the field of data science.
·  You have a broad experience with machine learning, and deep learning in particular (CNN, RNN, LSTM, autoencoder, etc.). Ideally, you are also experienced in one or more of the following areas: reinforcement learning, Gaussian processes, computer vision, image processing.
·  You have a good command in the following disciplines: statistics, probability, optimization, linear algebra, plus one or more programming languages: C/C++, Python (scikit-learn, Keras/Theano/Tensor Flow, Pandas, etc.), SQL.

Important skills

·  You have redeveloped and/or improved certain standard models.

·  You have pushed your models into production and have worked in a big data environment and/or on heterogeneous data.

·  You have experience in: GPU, parallel calculation, Cloud, cluster or grid computing.

·  You can easily combine mathematical modeling and software development.

·  You have an entrepreneurial spirit and drive your projects to their completion.

·  You are pragmatic and your choices are determined by the satisfaction of the user's needs.

·  You can manage priorities

·  You want to develop and enrich your expertise through teamwork.
·  You speak English well.

Who are you?

·  An enthusiastic, curious, creative person, who is always on the lookout for new technologies and methodologies.

·  You have already taken part in kaggle or hackathon challenges.

·  Your last project is on github. You have taken part in free projects.

·  You like brining your ideas face to face with a challenging environment.