Senior Data Scientist, L'Oréal Research & Innovation

Clark, NJ, United States

Job Title Senior Data Scientist

Division: Research & Innovation

Location: Clark, NJ

Reports To: VP, NA Digital Transformation IT

Who We Are:

For more than a century, L’Oréal has devoted its energy, innovation, and scientific excellence solely to one business: Beauty. Our goal is to offer each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity.

At L’Oréal, Research & Innovation is a vast, multidisciplinary, scientific community working in more than 30 specialized fields , spread out across the world in 21 research centers across 6 regional hubs, 14 evaluation centers , and 49 scientific and regulatory departments . Our employees represent over 60 nationalities and are united for one passion: to invent and perfect innovative, high-performance cosmetic products for the well-being of men and women across the world. Research & Innovation is at the core of our transformation! Come join our dynamic team!

What You Will Learn:

L’Oréal is looking for a talented and experienced Data Scientist that is proud of and passionate. You love research and are up to date on all the latest advancements in Data visualization and Analytics, machine learning, design of experiments, regression predictive modellings (physico-chemistry, sensory, consumer, etc.,), clinical studies methodologies, and care about seeing your research make it into products.

You are resourceful, self-motivated and pride yourself on your creativity and ability to design elegant solutions to challenging situations.

You communicate well, love working as part of a team, and animate a community of data citizen.

Key Responsibilities:

Participate in L’Oréal Research worldwide activities for innovative methods and applications in the field of clinical, sensory, consumer, physico-chemistry and raw materials. Work on a variety of projects in the domain of skin care, make-up, hair.

Lead global projects in data science and contribute to the global strategy

Provide leadership in data science thinking in all aspect of R&I, including guidance on statistical methods, study designs. Contribute to decision making, interpret statistical results in a clear and clean way to help project leaders make decisions.

Actively promote the use of data visualization and analytics field by leading a community of data analyst citizens.

Deeply understand USA digital ecosystem: Transfer and adapt to local needs algorithms and tools developed by worldwide data science teams

Identify and develop data science opportunities for US consumers and researchers

Independently apply and implement basic and complex statistical technics to help turning data into information, support results interpretation.

Work along with data science worldwide team to get harmonized and standardized processes.

Lead of good practices of tools implementation, aligned with global team

Share the knowledge and concerns with data science team during regular meetings for the exchange and collaborative interaction

Ensure the statistical methods and analyses provided to R&I teams are high quality, reliable and relevant in relation to latest developments

What We Are Looking For:

Required Qualifications:

Maters with 3-6 years’ experience or PhD with 1-2 years of experience in data science or in a scientific field with a strong statistical content

Experience in Machine Learning or AI

At least 3-6 years of relevant experience working as a data scientist / statistician within analytics consultancy / pharmaceutical industry / Machine Learning / AI experience

Hands on experience with R / Python with development of standalone packages which can be published on the IT enabled platforms.

Excellent problem solving and analytical thinking skills, ability to tackle challenging situations and produce stepwise solutions

Experience with a broad range of statistical / computation methods (exploratory and inferential statistics / statistical modelling)

Experience in design of experiments and clinical studies

Well-versed in confirmatory analysis: mixed models, logistical and longitudinal models, survival analysis, statistical tests (parametric and non-parametric)

Additional skills in Bayesian analysis

Must be eligible to work in the US on an ongoing and continuous basis without the need for sponsorship now or in the future.

Preferred Qualifications:

Independent, ability to work autonomously and manage priorities, and retaining a collaborative and inclusive approach with others

Ability to lead a community of data citizen

Cross-cultural functioning approach

Proactive, multitasking and solution oriented

Self-starter with initiative and desire to learn

Great communicator, able to convince, understand the needs.

As an integral part of our culture at L’Oréal, wellness is at our core. We not only offer a generous Benefits Package (Medical, Dental, Vision, 401K), we also offer flexible time off, work from home days, and a pension plan! Additionally, you will have access to company perks such as Makeup, Skincare, and Fragrance! Employees receive a stipend for L'Oréal products as well as VIP Access to L’Oréal’s Internal Shop for Discounted Products, and other perks such as Monthly Mobile Allowance, discounted gym memberships, and ERGs.

Additional Benefits Information As Follows:

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 (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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