L’Oréal is the world’s largest cosmetic company with the highest investment in R&I in the industry. Founded in 1909 by a young chemist, Eugene Schueller, L’Oréal continues to excel in science and innovation. L’Oréal’s Research and Innovation employs over 4,000 people of approximately 60 nationalities. Working in some thirty disciplines, more than half of these employees have doctorates or engineering degrees, and they are responsible for about 600 patents filed per year.

Are you passionate about the science of color and its impact on beauty?

Join our world-leading Color Science team at L'Oréal R&I, where we drive innovation and shape the future of color in the beauty industry. As a Color Scientist, you'll spearhead groundbreaking knowledge and innovation projects, collaborating with teams across Makeup, Haircolor, Skincare, and Haircare métiers worldwide. Your expertise will be instrumental in developing cutting-edge color technologies and products that captivate consumers worldwide.

This is your chance to make a tangible impact on the world of beauty while contributing to our color leadership.

MAIN RESPONSABILITIES

You will be leading various color projects in the areas of color science applied to beauty products. You will join the Color Science team and work cross functionally with the makeup labs, hair color labs, Evaluation Intelligence, Augmented Beauty Métier, Brands. 

The associated responsibilities are: 

• Lead research projects investigating consumer color preferences, considering color appearance and color management principles. This research will help the development of new shades and colors for our makeup and hair color products.
• Analyze and manage color data sets, transforming raw data into actionable insights that drive product development and innovation. Contribute to building and structuring our knowledge base of color science.
• Develop and implement algorithms to streamline color-related processes and analyses. This could include automating color matching, color rendering, or personalized color recommendations.
• Evaluate and implement existing methodologies to ensure accuracy, reproducibility, and efficiency in color assessment.
• Serve as a data referent for color measurement data, guiding its accuracy, consistency, and accessibility across the organization. Contribute to the data governance protocols specific to color science.

COMPETENCIES REQUIRED

• PhD’s or master's degree with experience in color science, computer vision, physics/optics, electronic engineering.
• Solid understanding of colorimetry, color appearance, psychophysics, and color management systems
• Thorough understanding of color measurement and various color measurement instruments
• Proficient in data analysis. Proven computer programming skills and efficient with software packages (Python, matlab, R, SAS, Excel, etc)
• Demonstrated independent thinking and problem-solving skills.
• Proven ability to handle multiple projects simultaneously in a fast-paced setting while maintaining attention to detail and technical precision.
• Team Spirit
• Cross-functional leadership

• Good communication and presentation skills
• Interest for beauty and the beauty industry

Preferred:

• Proficient with various forms of artificial intelligence 
• Knowledge of pigments/dyes/various color raw material technologies.

• Ability to decode/understand the color trends on the market

The L'Oréal Group is convinced that difference is a profound source of richness, enabling everyone to grow and challenge themselves. We foster work environments where everyone can be themselves, whatever their gender, origin, age, disability, physical appearance, sexual orientation or gender identity. We strongly encourage everyone to be daring and never censor themselves. Your recruiter is trained to listen to your needs if you wish to share them. 

To find out more about our scientific and technical professions, please visit our career site: https://careers.loreal.com/en_US/content/ResearchInnovations?3_4_3=128 

Discover the 3 key stages of our recruitment process: https://bit.ly/RIrecruitment