Job Title: Senior Manager, Data Science, CPD Advanced Analytics

Department: One L'Oreal Data

Reports To: AVP, Analytics Lead - Advanced Analytics

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, our One L'Oréal Data organization mission is to enable data at the speed of beauty and drive sustainable growth. We translate insights into action to deliver value for L'Oréal, our consumers, and the planet. We empower each other through data, insights, & agility, preparing L'Oréal for the future of a data driven world. Come join our dynamic team!

About the Role: The Sr Mgr, Data Science role will join the CPD Analytics & Insights team focused on Advanced Analytics. The role will be responsible for extracting knowledge and insights from data using a combination of statistical analysis, machine learning, programming, and domain expertise to analyze large datasets, identify patterns, and build predictive models.

Key Responsibilities:

DATA COLLECTION & ANALYSIS

• Data Collection and Preparation: Gather data from various sources, which can include databases, APIs, web scraping, and sensor data; clean, transform, and prepare this data for analysis,
• Leverage Exploratory Data Analysis techniques to understand the underlying structure of the data, identify trends, and formulate hypotheses
• Create visualizations, calculate summary statistics, and look for anomalies or outliers in the data
• Select, transform, and create relevant features (variables) from the existing data to improve the performance of machine learning models

MODEL DEVELOPMENT & MAINTENANCE

• Develop and train machine learning models to predict future outcomes or classify data into different categories
• Evaluate, model its performance using various metrics and validate the model on unseen data to ensure it generalizes well and isn't overfitting to the training data
• Deploy and monitor model's performance over time and retrain it as needed to maintain accuracy

COMMUNICATIONS and REPORTING

• Communication and Storytelling: Data Scientists need to effectively communicate their findings to both technical and non-technical audiences. They often create visualizations, dashboards, and presentations to explain their insights and recommendations in a clear and compelling way.

Skills:

• Experience: 5-8 years of experience. Proven track record of successfully delivering data science projects.
• Proficient in data science language such as Python, R and Advanced Excel (incl. macros)
• Skills: Advanced knowledge of statistical modeling, machine learning, and data mining techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies. Strong communication and presentation skills.
• Proficient in data story telling using visualizations to provide insight and gain buy in from senior leadership (incl. c-suite)
• Leadership experience, leading small teams or projects.

Additional Benefits Information As Follows:

Salary Range: $117,400 - $167,300 (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.

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