Manager - Advanced Analytics (CDMO)

Overview 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. CDMO : The Corporate Digital and Marketing Office mission is to put the consumer at the heart of L'Oréal's business and drive digital innovation. As a force for L'Oréal's innovation, CDMO delivers the best consumer experiences, drives new marketing models, and spearheads new digital capabilities to futureproof the group's business. Job Summary Responsibilities will include but not limited to building models for forecasting, enhancing our A/B testing tool, enhancing our MMM tool to build additional capabilities such as Network analysis, propensity models, market basket analysis. A working knowledge of statistical and modeling techniques such as Regression (Linear/Logistic/Bayesian), Time series models (ARIMA/ARIMAX, SARIMA/SARIMAX), ML (Decision Trees, Random Forest, Clustering) is crucial. An ideal candidate possesses a sharp analytical mindset and can clearly articulate and apply analytical learnings for business partner situations. Strong communication skills (oral and written), comfortable working across multiple work-streams and stakeholders, with a flexible/adaptable mindset, and a patient approach to train others within business teams on the tool's inputs and outputs. The ideal candidate will also have strong project management skills – timeline management, roles/responsibility assignments, task execution – for efficient project implementation. What You Will Learn Work with the Advanced Analytics team and business stakeholders to understand the problem statement and identify the modeling technique. Collaborate with IT and external consultants to build, validate, and deploy the model. Translate insights from models into business-friendly presentations. Use Loreal-provided pre-built tools to build models and generate insights. Interview business stakeholders to understand problems and identify data-driven insights. What We Are Looking For WHAT WE ARE LOOKING FOR SKILLS Experience in statistical modeling, marketing research and business strategy. Successful track record of delivering models using techniques such as Regression, Time Series Forecasting, ML, etc. Proficiency with Python, SQL, R Experience implementing and using ELT/ETL pipelines within a Google Cloud Platform (GCP) environment Ability to build and interact with RESTful APIs and containerization (Docker) Optimize cloud computing and storage resources for cost-effective data science workloads Implement secret management to protect sensitive data using API keys and credentials in line with data governance practices Successful track record of synthesizing strategic business knowledge with data analysis/insights; capable of driving business strategy and decisions using analytics Specific marketing response modeling expertise such as MMM and business application Cross-functional skills to explore different business viewpoints and develop mutually owned solutions Ability to solve complex problems with creative and conceptual reasoning Strong oral and written communication, highly organized; project management leadership Ability to communicate complex marketing measurement and research results to a general audience Ability to build strong documents (PowerPoint) to visualize and tell complex research stories to end-users Exposure to large data sets (big data) and analysis is a plus Ability to multi-task and work in a transversal, matrixed environment Proactive with strong problem-solving skills and an entrepreneurial spirit Establish and maintain excellent working relationships with key functional groups Education/Experience 4+ years in relevant industry experience (ideally as a Data Scientist in a similar or adjacent industry) BS in Statistics/Mathematics/Data Science, or Economics. MS in Statistics/Data Science preferred. Acts/Leads with Human Sensitivity – demonstrates respect, develops others, enriches team dynamics Interacts Effectively – listens and communicates effectively, actively networks Manages Complexity – reasons from multiple perspectives, makes decisions Achieves Results with Integrity – conveys energy, focuses on results Innovates – shows curiosity, imagines creative solutions, promotes team creativity Demonstrates Entrepreneurship – takes initiative, focuses on customers, improves business performance Displays Sensitivity to the Métier of L'Oréal – focuses on quality, builds knowledge of the beauty business Please note: This job description is a general outline and may be subject to change. As part of our culture at L'Oréal, wellness is at our core. We offer a benefits package (Medical, Dental, Vision, 401K), flexible time off, work-from-home options, and a pension plan, plus access to company perks and L'Oréal products. Employees receive a stipend for products and VIP access to the internal shop, as well as other perks such as a monthly mobile allowance and gym memberships. Additional Benefits Information Salary Range: $98,400-$140,200 base salary. The actual compensation depends on factors including location, experience, education, and skill level. Hybrid Work Policy (3 days in office, 2 days remote) Flexible Time Off (holidays, vacation options, volunteer time, Summer Fridays, etc.) Access to Company Perks (VIP Shop discounts, Monthly Mobile Allowance) Learning & Development opportunities (unlimited e-learning, Lunch & Learn, mentorship) Employee Resource Groups Access to Mental Health & Wellness Programs Don't meet every requirement? At L'Oréal, we value diversity and inclusion. If you're excited about this role but your past experience doesn't align perfectly, we encourage you to apply anyway. We are an Equal Opportunity Employer and value diversity. We do not discriminate in recruitment, hiring, training, promotion, or 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. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation by contacting USApplicationAccommodation@support.lorealusa.com. Our Safe Together Plan: Your safety is our priority. We will operate with enhanced protection standards to ensure our sites are safe for all employees. J-18808-Ljbffr