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Senior Data Scientist

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L'Oréal

Nov 8, 2024

Applications are closed

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Paris

Requirements

  • Master's degree in a quantitative field (e.g., Statistics, Mathematics, Data Science) 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, Git, 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

Responsibilities

  • 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 mentor students on Data Science projects
  • Report directly to Lead Data Scientist

FAQs

What is the main focus of the Senior Data Scientist position at L'Oréal?

The main focus of the Senior Data Scientist position is to deliver AI-driven solutions at scale to support data-driven decisions, automation, and augmented ways of working within the company.

What qualifications are required for this position?

A Master's degree in a quantitative field (e.g., Statistics, Mathematics, Data Science) or a Bachelor's degree with 8+ years of relevant professional experience is required.

How many years of experience are needed in a Data Scientist or similar role?

A minimum of 5+ years of experience in a Data Scientist or similar role is required.

Are there any preferred technical skills for this position?

Yes, preferred technical skills include proficiency in Python, SQL, Git, Deep Learning, Statistical Modeling, Algorithms (including Machine Learning), and NLP Algorithms, as well as experience in developing and fine-tuning LLM/Gen AI solutions.

Is proficiency in languages other than English required for this role?

Proficiency in English at a B2+ level is required, while French is a plus but not mandatory.

What is the team structure like within the Paris Beauty Tech Accelerator Solutions Data Science team?

The Paris Data Science team consists of 15 people, with 4 dedicated to the internal Data Science team, collaborating with Full Stack Software Engineers, DevOps, Product Owners, Product Managers, UX/UI Designers, and Business stakeholders.

Is there a mentorship aspect in this position?

Yes, the role includes collaborating with and mentoring students on Data Science projects.

What is the work schedule for this position?

The position follows a hybrid work policy with 3 days in the office and 2 days working from home, with remote work permitted for a maximum of two Fridays per month.

What type of culture can employees expect at L'Oréal?

Employees can expect a culture that values diversity, curiosity, collaboration, innovation, and team spirit, fostering an environment where they can have a real impact.

What does the recruitment process entail?

The recruitment process includes an interview with HR, an interview with the hiring manager, and an interview with the business leader.

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L'Oréal

Retail & Consumer Goods
Industry
10,001+
Employees
1909
Founded Year

Mission & Purpose

L'Oréal is a multinational beauty and cosmetics company that operates in various segments of the beauty industry, including skincare, haircare, makeup, and fragrance. They offer a wide range of beauty products and solutions through their diverse portfolio of brands. L'Oréal's ultimate mission is to provide innovative and superior beauty products that cater to the diverse needs and desires of individuals worldwide. Their purpose is to enhance people's lives through beauty, empowering individuals to express themselves, boost their confidence, and embrace their unique identities. L'Oréal aims to combine science, research, and creativity to deliver high-quality and sustainable beauty solutions that promote inclusivity, diversity, and self-expression. By continuously innovating and staying at the forefront of the industry, L'Oréal strives to shape the future of beauty and contribute to the well-being and self-esteem of consumers globally.