data Science managerL'Oréal

Who is L'Oréal?
L'Oréal is the world's largest and most profitable beauty company. Present in over 150 countries, L'Oréal has catered to all forms of beauty in the world for over 100 years and has built an unrivalled portfolio of more than 36 international, diverse and complementary brands including L'Oréal Paris, Garnier, Maybelline New York, Nyx Professional Makeup, IT Cosmetics, Lancôme, Kiehl's, Urban Decay, Shu Uemura, Giorgio Armani, Yves Saint Laurent Beauté, Ralph Lauren, Diesel, Biotherm, Clarisonic, Kérastase, L'Oréal Professionnel, Matrix, Vichy, and La Roche-Posay.
For more than a century, L'Oréal has devoted itself solely to one business: beauty. The group's mission is to provide the best in cosmetics innovation to women and men around the world with respect for their diversity. We want to bring beauty to all people. Our ambition for the coming years is to win over another one billion consumers around the world by creating the cosmetic products that meet the infinite diversity of their beauty needs and desires.
Our business is energetic and vibrant, underpinned by strong ethical principles and our belief that financial performance and responsible business go hand-in-hand. We are driven each day by our six founding values - Passion, Innovation, Entrepreneurial Spirit, Open-mindedness, Quest for Excellence and Responsibility.
Why join us?
Being the world's #1 beauty company, L'Oréal empowers its people who are ready to take bets, think out of the box, defend their convictions, be resilient and leave their own mark. They are offered numerous opportunities, fast track careers and early responsibilities. L'Oréal has ambitious goals and is striving for excellence. This permanent learning experience helps you stretch your potential.
We define success as making a positive, conscious impact. At L'Oréal, you will be encouraged to think and act beyond your job. We push boundaries and move fast globally to stay ahead of the game. Your job will be your own innovation playground. We encourage different points of view. What sets you apart is what makes you great. You will always have the space to question, express, agree and disagree. We unleash everyone's potential. Here, learning opportunities are endless. You will build your own unique path. We believe in the impact of great mentors. You will be inspired by people you won't ever want to forget.
What will you do?
As a Data Science Manager, you will work under the e-Commerce Team of the Consumer Products Division (CPD), report to the National Commercial Online Manager, and be expected to do the following:
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Owns local Data Analytics (data repository, key contact with region for data concerns)
Provides e-Commerce multi-functional team with standard reports & dashboards to drive data led planning.
Collaborates with Market Intelligence to develop statistical models & advanced analytics examining business performance.
Supports transformation into a data-driven organization by modeling behaviors & helping upskill the broader team.
Who are we looking for?
A graduate with a degree in computer engineering, industrial engineering, information science or related
Displays sensitivity to L'Oréal's "Métier"
Passionate about beauty and wants to build a career in the beauty and cosmetics industry
Experience in creating data architectures, visualizing and presenting data to stakeholders, and performing statistical and data mining techniques
Possesses great drive to learn and master new technologies and techniques
Has coding knowledge and experience with several computer languages
Experience in analyzing big data from 3rd party providers: Google Analytics, Adwords, Facebook Insights, etc.
Exhibits strong leadership and stakeholder management skills
Excellent communication skills, both written and oral
Driven, proactive, energetic, and detail-oriented
L'Oréal

Pasig City, Metro Manila
Permanent
Full-time