Tempo Indeterminato
New York, NY, New York
Tech
Full - Time
30-Jan-2024

Job Title: Manager- Data Scientist

 

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:

 

  • Use Machine Learning on data coming from different e-commerce sources to maximize traffic and sales or our products.
  • Implement and research on the state-of-the-art Large Language Models and Diffusion models.

 

 

What You Will Learn:

  • Use Machine Learning on data coming from different e-commerce sources to maximize traffic and sales or our products.
  • Implement and research on the state-of-the-art Large Language Models and Diffusion models.
  • Creating and deploying innovative solutions based on Machine Learning for a variety of other use cases, addressing multiple businesses of L’Oréal.
  • Provide expertise to different business stakeholders to assess feasibility of new use cases.
  • Share knowledge with peers and help animate an internal community of Data Scientists.
  • Work in collaboration with teams of internal and external partners with diverse profiles (Data Engineers, UX/UI designers, Full-Stack developers, DevOps engineers etc.)

 

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:

  • Machine Learning
  • Programming with Python.
  • SQL
  • Object Oriented Programming
  • Data Science ecosystem: pandas, numpy, scipy, sklearn, tensorflow, langchain, etc.
  • Development tools: git, docker, terraform, CI/CD (Jenkins, circle-ci, …)
  • Working on cloud platforms: Google Cloud, Databricks.
  • MLOps: Vertex AI, dvc, mlflow etc.
  • Diffusion Models and Large Language Models (Generative AI)


 

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:

  • Salary Range: $100,400-$143,000 (The actual compensation will depend on a variety of job-related factors which may include geographic location, work experience, education, and skill level)
  • Competitive Benefit Package (Medical, Dental, Vision, 401K, Pension Plan)
  • Hybrid Work Policy (3 Days in Office, 2 Days Work from Home)
  • Flexible Time Off (Paid Company Holidays, Paid Vacation, Vacation Buy Program, Volunteer Time, Summer Fridays & More!)
  • Access to Company Perks (VIP Access to L’Oréal’s Internal Shop for Discounted Products, Monthly Mobile Allowance)
  • Learning & Development Opportunities for Career Progression (Unlimited Access to E-learnings, Lunch & Learn Sessions, Mentorship Programs, & More!)
  • Employee Resource Groups (Think Tanks and Innovation Squads)
  • Access to Mental Health & Wellness Programs 

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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