Who are we?
At L’Oréal, there is never a dull day, the beauty lies in the freedom to go beyond with our empowering entrepreneurial culture. We take pride in developing young talents who have the passion and ambition to make an impact in the beauty industry.
SAPMENA (South Asia Pacific, Middle East & North Africa) is home to 40% of the world's population & some of the fastest-growing economies. Headquartered in Singapore, we have over 6,800 diverse talents in 15 subsidiaries with 34 International Brands, 4 factories & 2 research centres. As the leading beauty tech company, we offer endless exciting career opportunities.
Join us on our mission to: Create the beauty that moves the world.
Watch our video here to find out what it’s like working for L’Oréal!
In your role, you will be expected to understand business challenges and and build data products/statistical modelling solutions to tackle them. You will have a critical role working with our stakeholders to make recommendations to the business.
Explore and choose the algorithms which have best performance
Develop, train and finetune the model
Work with ML engineers to support the industrialization
Responsible for engaging with key stakeholders within the organization, the Delivery Team, Data Engineers, BI Developers, analytics analyst, IT PMO and business to build an exceptional product.
Working closely with a product owner and effectively captures stakeholder assumptions and translates them into hypothesis driven outcomes.
Be accountable for the end-to-end results and delivery of your product
Collaborate with stakeholders on model/product launch communication, training and enablement and ongoing product adoption tactics, where applicable.
Support and champion, where applicable, ongoing initiatives driving data analytics culture
Act as a subject matter expert and provide guidance to the project team throughout the project. This includes (but not limited to):
Knowing which sources of data to explore
Identifying and communicating the key trends, data limitations
Support scoping of the business problem out so that the project team can determine the best model/analysis/solution
Assess reasonability of the data and/or model prior to sharing with the key business stakeholders
Master or above degree in Computer Science, Machine Learning, Mathematics or Statistics
Strong mathematical and statistical knowledge
4+ years of relevant experience, including the following areas:
Creating analytics models/products and delivering results
Implementing solutions for business preferably in consumer goods areas with knowledge and understanding of consumer goods data with the knowledge of industry trend
Professional experience in advanced analytics
Proficient in Python/R, advanced ML/AI algorithms, SQL, optimization
Experience with data science frameworks (e.g. Scikit-learn/Pandas etc.) and deep learning frameworks (e.g. Keras/Pytorch etc.)
Experience with R/Python, advanced AL/AI algorithms, SQL, optimization
Preferred but not essential: GCP certifications, DAX
Excellent problem solving skills, communication skills & stakeholder management, with the ability to simplify technical output into business language
Strong project management experience and flexibility to work across multiple time zones
Growth mindset with ability to stay current with solution trends
Please submit your resume in the following format: BCG RISE_Name_Role that you are applying for e.g. BCG RISE_John Smith_Business Analyst