Senior Data Scientist
@ Paris Beauty Tech Accelerator Solutions

Unleash Your Potential at L’Oréal’s Beauty Tech!

For more than a century, L’Oréal has devoted itself solely to one business: Beauty. Present in 150 countries across five continents and with €42 billion consolidated sales, L’Oréal is the global industry leader. With 37 global beauty brands across four divisions, L’Oréal offers beauty for each covering all beauty categories and catering to all beauty desires. With the acquisition of the Australian brand Aēsop in 2023, the Group continues to expand its portfolio through targeted acquisitions as part of its drive to create the future of beauty .

Today, L’Oréal includes more than 2,000 tech positions and is constantly growing. Beauty Tech is changing the game and leading the shift towards new consumer realities and a digital disruption. Championing Beauty Tech , we invent the beauty of the future while becoming the company of the future.

Beauty Tech is how we know our consumers intimately, augmenting their beauty journeys with unparalleled diverse and sustainable experiences. Beauty Tech equips the Group with the key assets it needs to conquer this new world, where Tech has become strategic. With this ambition, L’Oréal continues to recruit diverse , innovative, skilled and passionate minds in different tech domains such as Data, Digital, Cloud, Cybersecurity , IT Architecture, DevOps, Applications and Infrastructure.

YOUR FUTURE TEAM

You will be a part of Beauty T ech Accelerator Solutions. As a team we report directly to the Executive Committee of L’Oréal. Our mission is to deliver AI-driven solutions, at scale, adopted by employees to support data-driven decisions, automation, augmented ways of working and agility in L’Oréal .

Geographically, we are divided into 4 hubs: Paris, New York, Shanghai, and Singapore. We are working on more than 13 solutions and projects worldwide. Our tools are based on more than 120 TB of both structured and unstructured data .

We create beautiful, reliable, high-quality tools for our colleagues. To do so, we don’t only work together with Full Stack Software Engineers, DevOps, Product Owners and Product Managers, but also with UX/UI Designers and Business stakeholders . Our Paris team is composed of 15 people, 4 of which make up the internal Data Science team. In the Paris Data Science team, we are currently working on 3 high-stake products and on a few smaller initiatives. We build solutions with algorithms ranging from classic Machine Learning ( e.g. Random Forests) to LLMs, VLMs and Multi-Modal GenAI . Our infrastructure is mostly based on GCP (incl. Vertex AI) and Azure .

On top of the regular working activities, we have Weekly Data Science meetings, where we share our latest finding in Data Science. We participate in various external Data Science and Tech events, for instance , in 2024, some of us visited ICML in Vienna and others PyCon / PyData in Berlin.

What a day in the life of the Paris Beauty Tech Accelerator Solutions Data Science team looks like:

Each day in our team is different, thus you won’t be bored. Among other things, this is what you will do:

• Plan, organize, analyze, produce and deploy innovative and sustainable solutions based on Machine Learning / GenAI for a variety of use cases across the company. Ensure the quality of these solutions is aligned with user expectations.
• Collaborate with teams of internal and external partners with diverse profiles to integrate models into real products. Encounter many opportunities to provide expertise and share knowledge on Data Science projects, inside and outside of the team. Ensure trust and maintain trustful relationships with all the related stakeholders .
• Manage both internal and external Data Scientists and other related stakeholders to achieve the impact on your own projects and workstreams, where you will be personally responsible for the end-to-end execution.
• Draw-up business audience friendly Algorithm / Data transformation logic documentation
• Collaborate with and m entor students on Data Science projects
• Report directly to Lead Data Scientist

THIS IS WHAT YOU WILL NEED TO SUCCEED!

First and foremost , we love people who are curious, collaborative, eager to have an impact, proactive and who value innovation, autonomy, and team spirit.

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

REQUIRED SKILLS AND QUALIFICATIONS

• Master’s degree in a quantitative field (e.g., S tatistics, M athematics, D ata S cience) or a Bachelor’s degree with 8+ years of relevant professional experience.
• 5 + years in a Data Scientist or similar role, encompassing data extraction, analysis, statistical modeling, and effective communication. Preferably, this includes experience as a leader and mentor within a Data Science team.
• Python, SQL, G it , Deep Learning, Statistical Modeling, Algorithms (incl. Machine Learning) , NLP Algorithms (preferably), application / fine-tuning / development of LLM / Gen AI solutions (preferably)
• Ability to clarify and simplify technical concepts, experience of direct work business people , problem - solving, agile project management
• English B2 + level ; French is a plus , but optional

LET US GIVE YOU 6 OTHER REASONS TO JOIN US!

Joining L’Oréal means joining a company that:

1. Invests in Tech and positions its Tech teams at the heart of its digital transformation strategy .
2. Allows its employees to have a real impact , to t est their ideas , to innovate and to build our future .
3. Offers a Hybrid Work Policy: 3 Days in the Office , 2 Days Work from Home ( Work from home is permitted for a maximum of two Fridays per month )
4. Provides many benefits: VIP staff shop offering our products at a preferential rate, a company restaurant & gym, 60% reimbursement of transportation subscription, a work council offering numerous employee discounts (social & cultural activities, holiday vouchers etc.)
5. Delivers a powerful and innovative HR policy : 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.
6. Is an Equal Opportunity Employer and takes pride in a diverse environment . We would love to find out more about you as a candidate and we do not discriminate in recruitment, hiring, training, promotion, or other employment practices. The beauty we find in our differences gives us the freedom to go beyond. That’s the beauty of L’Oréal.

GOOD TO KNOW: THE RECRUITMENT PROCESS

1. Interview with HR
2. Interview with the hiring manager
3. Interview with the business leader

We will be delighted to exchange with you!

Want to learn more about L’Oréal Beauty Tech? C lick here.