L'Oréal's One L’Oréal Data organization mission is to enable data at the speed of beauty and drive sustainable growth by translating insights into action to deliver value for L'Oréal, our consumers, and the planet, and empowering each other through data, insights, & agility, preparing L’Oréal for the future of a data driven world.
Requirements
- Proficient in core data science languages (Python, R, SQL), statistical modeling, machine learning algorithms, and data visualization tools.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Experience in data story telling using visualizations to provide insight and gain buy in from senior leadership (incl. c-suite)
Responsibilities
- 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
- 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
Other
- 3-5 years of experience. May have previously held a Data Analyst or similar role.
- Strong communication and presentation skills.
- 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)
