Сфера деятельности: Data
Тип занятости: Full - Time
Job Title: Manager- Data Science
Division: L’Oreal IT – Tech Accelerator
Location: New York City
Reports To: Director, Data Science
Who We Are:
L’Oréal is present in 150 countries on five continents. For more than a century, L’Oréal has devoted itself solely to one business: beauty. A unique and international portfolio of 36 complementary brands, generating over 38 billion euro of sales in 2022. As market leader, we continuously deliver innovation and digital solutions that can bring beauty to all people around the world. L’Oréal truly embraces entrepreneurship and you’ll have the chance to conceptualize ideas and bring them to life in an agile way.
To stimulate our Beauty Tech transformation, we 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 (Paris, Shanghai, Singapore, New York, Toronto).
As a Data Scientist working in 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.
We are looking for a Data Scientist to join L'Oréal in New York City to work on missions such as:
What You Will Learn:
What We Are Looking For:
First and foremost, we love people that are curious, collaborative, eager to have an impact and who value innovation, autonomy, and team spirit.
We are looking for someone with a background in Computer Science, Statistics, Machine Learning or any related quantitative field.
Secondly, in this specific position, it will be important for you to some knowledge and/or interests in:
And finally, you may not be an expert with all requirements listed above, however, you must show curiosity, innovation, strategy, people development and entrepreneurship.
What’s In It For You:
Don’t meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles!
We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status.
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