Safety Datascience

Edition spéciale SEEPH 2021, tous secteurs et tous types de contrats du 12 novembre au 2 décembre 2021

L'Oréal

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Safety Datascience
Offre proposée par L'Oréal
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Informations clés

  • Entreprise:
    L'Oréal
  • Référence:

  • Localisation:
    93 - Seine-Saint-Denis
  • Nombre de postes:
    1
  • Type de contrat:
    CDI

Description du poste et missions

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!

We are a team who supports the Data decisions with right and robust Scientific Design & Statistical Methods for R&I, help the R&I researchers to take relevant and robust decisions with efficient data interpretation

We are 21 very international and passionate team players who push team for relevant decision

INTERESTED?

THIS IS WHAT YOU WILL DO IN NUTSHELL!

The Green Science revolution has begun in order to offer an augmented performance for the new products with the L’Oréal guarantee of Safety products in this new area.

We need someone who set up a new strategy for the Statistical Analyses for the Safety evaluation of the new ingredients bring by the Green Science

Work on design and capability of methods/protocols (Design of experiment, qualification of methods)
Work on knowledge extraction (new hypotheses on mechanisms of action) thanks to exploratory analyzes, from descriptive to multivariate exploratory and predictive analyzes -unsupervised and supervised methodologies) using factorial methods and Bayesian networks, and more generally machine learning.
Conduct “data visualization and analytics” capacity building (methods and tools) for non-statisticians within L’Oréal R&I. 

IF YOU WANT TO GO FURTHER IN DETAILS, THIS IS WHAT YOU COULD EXPECT TO DO

You will be essentially interacting with L’Oréal Research & Innovation, on data strategy and data analysis related to safety endpoints.

Analyze data and interpret results to meet objectives of the project; generate internal reports to effectively communicate results to the project team, management, regulatory agencies, or internal individual investigators:

Involved in design for key projects:  ensure that the “client” have optimal protocols (DOE, qualification of methods (precision and trueness of measurements)
Involved in exploratory analyzes (using and/or developing algorithm when necessary)
Involved in development, promotion, and deployment of predictive models.

Provide responses to queries related to study design, analysis, and interpretation made by the experts, regulatory agencies, and/or investigators.
Work with team leader, and serve as statistical expert and representative in cross-functional teams (biologists, chemists, toxicologists, informaticians, data managers)
Work with team members and collaborate with researchers on safety characterization and on prediction evaluation.
Participate in L’Oréal Research worldwide activities for innovative methods and applications in the field of data analyze.

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.

Secondly, in this specific position, it will be important for you to have significant experience in:

Statistical inference, exploratory methods (Clustering/PCA/K-means/ correlation networks…), PLS approaches, Bayesian inference & networks, ensemble learning, machine learning.
Extensive experience in statistical programming using R and python frameworks.
High oral and written communication skills, with ability to work effectively with different functional background. Significant experience in managing projects with complex study designs and multiple objectives.
Entrepreneurial spirit and ability to work effectively in a multidisciplinary environment, and in a collaborative way.

Requirement:

 Min Master degree in Statistics / biostatistics or related discipline with a minimum of 5-6 years’ relevant experience.

Have in mind that the more you add mandatory skills, the more candidate will be discouraged. Keep it simple And finally, you may not be an expert with all requirements listed below, however, you must show great curiosity in understanding the non-mastered technologies

Rare event statistics methodology
Multispectral data analysis
Expert-knowledge Elicitation methodology.

WAIT, THERE IS MORE! LET US GIVE YOU 4 OTHER REASONS TO JOIN US!

Joining L'Oréal means joining a company that:

Invests in Tech and positions its Tech teams at the heart of its digital transformation strategy.
Allows its employees to have a real impact, to test their ideas, to innovate and to build our future.
Has a powerful and innovative HR policy: a very dynamic mobility policy, significant investment in employee training, regular re-evaluation of remuneration, numerous innovative HR measures: Time Savings Account, paternity leave, Citizen Day, etc.
Has chosen to uphold strong values and to be particularly advanced from a social and environmental point of view (strong diversity and inclusion policy, L'Oréal for the Future program, commitment to numerous communities, etc.).

The L'Oréal Group is convinced that difference is a deep source of wealth, that allows everyone to grow, to challenge themselves and to go further.

We strongly encourage everyone to always dare and never censor themselves. Skills can always be learnt.

We will be delighted to exchange with you!

Ready to build the future of L'Oréal together? Apply now!

Profil du candidat

  • Expérience souhaitée : 5 à 10 ans
  • Diplôme requis : Bac + 5 et plus