Job Title: Senior Data Scientist
Division: Research & Innovation
Location: Clark, NJ
Reports To: VP, NA Digital Transformation
Who We Are
For over a century, L’Oréal has been devoted to one mission: creating the best in beauty through innovation, scientific excellence, and a deep commitment to quality, efficacy, safety, and responsibility. Our ambition is to meet the diverse beauty needs and desires of people around the world.
Within L’Oréal, Research & Innovation is a vibrant, multidisciplinary community operating in more than 30 specialized fields, spanning 21 research centers across 6 regional hubs, 14 evaluation centers, and 49 scientific and regulatory departments. Representing over 60 nationalities, our teams are united by a passion for inventing and perfecting high-performance cosmetic products that enhance the well-being of people everywhere. R&I is at the heart of our ongoing transformation—join us and help shape the future of beauty!
Your Impact
As a Senior Data Scientist at L’Oréal, you’ll play a pivotal role in advancing our research and innovation through data-driven insights and solutions. You’ll be at the forefront of applying cutting-edge methodologies in data science, analytics, and machine learning to drive impactful decisions and bring innovative products to market.
What You’ll Do
- Lead and Execute Projects: Drive global and local data science initiatives across clinical, sensory, consumer, physico-chemistry, and raw materials domains, with a focus on skincare, makeup, and hair.
- Strategic Guidance: Provide leadership in data science strategy, offering expertise on statistical methods, study design, and interpretation of results to support decision-making for R&I teams.
- Community Building: Foster and lead a community of data citizens, promoting best practices in data visualization and analytics.
- Digital Ecosystem Expertise: Deeply understand the US digital landscape; adapt global algorithms and tools to local needs, and identify new data science opportunities for US consumers and researchers.
- Collaboration: Work closely with the global data science team to harmonize and standardize processes and tools, ensuring consistent best practices.
- Knowledge Sharing: Regularly share insights and updates with peers, contributing to a collaborative and innovative environment.
- Quality Assurance: Ensure all statistical analyses and methodologies are robust, reliable, and aligned with the latest scientific developments.
Who You Are
Required Qualifications:
- Master’s degree with 3–6 years of experience, or PhD with 1–2 years of experience, in data science or a scientific field with strong statistical content.
- Proven experience in machine learning or AI.
- Hands-on expertise in R and/or Python, including development of standalone packages.
- Deep knowledge of a broad range of statistical and computational methods (exploratory/inferential statistics, modeling, experimental design, clinical studies).
- Experience with confirmatory analyses (mixed models, logistic/longitudinal models, survival analysis, parametric/non-parametric tests).
- Familiarity with Bayesian analysis.
- Eligible to work in the US without current or future sponsorship.
Preferred Qualifications:
- Independent and proactive, with strong organizational and multitasking skills.
- Collaborative, with the ability to engage and lead cross-functional teams and communities.
- Strong communication skills, able to explain complex concepts clearly and persuasively.
- Culturally agile and inclusive, with a passion for continuous learning and innovation.
What We Offer
- Comprehensive Benefits: Medical, Dental, Vision, 401K, Pension Plan
- Base Salary: $107,600 - $153,300 Final compensation will depend on a variety of factors, including your experience, qualifications, performance, and may also include merit-based increases, bonuses, or other incentives.
- Hybrid Work Policy: 3 days in office, 2 days remote
- Flexible Time Off: Paid holidays, vacation, vacation buy program, volunteer time, Summer Fridays, and more
- Exclusive Perks: Monthly mobile allowance, VIP access to L’Oréal’s internal shop for discounted products, product stipends, discounted gym memberships, and more
- Learning & Development: Unlimited e-learning, lunch & learn sessions, mentorship programs
- Wellness & Support: Access to mental health and wellness programs, Employee Resource Groups, and a supportive, inclusive culture
Our Commitment
At L’Oréal, we are committed to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your experience doesn’t align perfectly with every qualification, we encourage you to apply—you may be just the right candidate for this or other roles.
We are proud to be an Equal Opportunity Employer and value diversity at every level of our organization. If you require a reasonable accommodation to apply or participate in the interview process, please contact [email protected].
Your safety is our highest priority. We adhere to enhanced health and safety standards to protect all employees.
Ready to shape the future of beauty with data-driven innovation? Apply today!