Title:  Manager - Advanced Analytics

Division: Corporate, CDMO

Reports To: AVP – Advanced Analytics

Location: New York, NY

Department: CDMO - Consumer Function - Market Intelligence Team (CMI)

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, enhance our MMM tool to build additional capabilities such as Network analysis, propensity models, market basket analysis. Hence a working knowledge of some of the statistical and modeling techniques such as Regression (Linear/Logistic/Bayesian), Time series models (ARIMA/ARIMAX, SARIMA/SARIMAX), ML (Decision Trees, Random Forest, Clustering) etc. will be crucial.

An ideal candidate will possess a sharp analytical mindset and have the capability to clearly articulate and apply analytical learnings for business partner situations. Strong communication skills (both oral and written), comfortable working across multiple work-streams and stakeholders, simultaneously, contain a flexible/adaptable mindset (being able to adjust thinking on the fly), and have a lighter, patient approach in order to train others within the business teams (CDMO/MI, media teams, brand teams, financial teams, global teams) on the tool’s working inputs and application of its outputs to their specific business lenses. Optimal candidate will also possess strong project management skills – timeline management, roles/responsibility assignments, task execution – for efficient and effective project implementation.

What You Will Learn:

• Work with the Advanced Analytics team and the business stakeholders to understand the problem statement and identify the modeling technique most appropriate to model it.
• Work with the IT team (and external consultants if needed) to build the model, validate it and deploy it.
• Translate the insights derived from the models into business-friendly presentations 
• Use Loreal provided pre-built tools to build models and generate insights
• Interview business stakeholders to understand the problems and identify areas where data driven insights would drive the business forward

What We Are Looking For:

• Experience in statistical modeling, marketing research and business strategy. 
• Successful track record of delivering models that based on one of the techniques mentioned above (Regression/Time Series Forecasting/ML et.)
• 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
• Implementing secret management to protect sensitive data using API keys and credentials that adhere to data governance practices
• Successful track record of synthesizing strategic business knowledge with data analysis/insights; capable at driving business strategy and decisions using analytics.
• Specific marketing response modeling expertise such as MMM (Marketing Mix Modeling) and business application.
• Cross functional skills – can explore different business viewpoints and work with teams to develop mutually owned solutions
• Can solve problems in complex situations using creative and conceptual reasoning.
• Strong oral and written communication skills, extremely well-organized; a leader in project management.
• Able to communicate complex marketing measurement and research results to a general audience
• Can build strong documents (in PowerPoint) to visualize and story-tell complex research results and communicate those learnings to end-users.
• Exposure to large data sets (“big data”) and analysis thereof, a major plus.
• Ability to multi-task and communicate in a transversal, matrixed environment
• Proactive individual with strong problem-solving skills and an entrepreneurial spirit.
• Establish and maintain excellent working relationship with key functional groups.

EDUCATION/EXPERIENCE:

• 3+ 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.

L’Oréal Competencies:

• 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, acts with integrity
• Innovates - Shows curiosity, imagines creative solutions, promotes team creativity
• Demonstrates Entrepreneurship - Takes initiative, focuses on customers, improves business performance, develops a vision
• Displays Sensitivity to the “Métier” of L’Oréal - Focuses on quality, builds knowledge of the beauty business, understands beauty

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:

• Salary Range [New York]: $98,400-$140,200 base salary (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 (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.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting [email protected]. If you need assistance to accommodate a disability, you may request an accommodation at any time. 

Our Safe Together Plan: Your safety is our highest priority. We will proceed with caution and adhere to enhanced protection standards to ensure our sites are safe for all employees. We must all operate with the shared responsibility for each other’s health & safety in mind.