Estée Lauder Companies

The Estée Lauder Companies is a global beauty powerhouse, with a portfolio of iconic brands that have shaped the beauty industry for decades. Our commitment to excellence, innovation, and inclusivity extends not only to our products, but also to our people. We believe that every individual brings a unique perspective, and together, we create a vibrant and empowered workforce.

Due to our continued growth we are now hiring a

Data Scientist

for our team in Budapest

Responsibilities

• Build, deploy & optimize AI/machine learning forecasting models for customer order & consumer point of sale forecasts to maximize mix accuracy, plan level & completeness, stability & explainability, across in-line, new product and promotional business segments, across execution, operating & strategic horizons, for all categories & brands.
• Optimize model selection, parameter & performance tuning strategies & execution to maximize weighted forecast accuracy, attainment, stability & explainability.
• Build this capability for an extremely complex global prestige beauty business spanning over a dozen brands, hundreds of markets, multiple channels across a vast product portfolio.
• Accountable for forecast accuracy, attainment & stability for key business segments (regions, markets, major categories & brands, basic in-line business, new product launches, total unit plan level).

Requirements

• Bachelor’s degree or higher in Engineering, Computer Science, Statistics, Machine Learning, Operations Research or related field.
• Minimum 3 years of related experience in Operations Consulting or Data Science role related to statistical demand forecasting.
• Knowledge of, and experience with statistical forecasting techniques (classical time series methods) & machine learning models (GLM, kernel machines, neural networks – CNNs, RNNs, tree models), hyperparameter & loss function model tuning, stability, accuracy, attainment tradeoff considerations in forecast model performance.
• Knowledge of, and hands-on experience building demand forecasting models with statistical modeling packages at scale (Python, R), database languages (different SQL flavors), cloud platforms (Azure, AWS, GCP), ML platforms (Nixtla, TensorFlow, Pytorch) parallelized & distributed computing (Databricks). Gen AI experience bonus.
• Experience with pre and post processing of time series such as outlier detection & treatment, history imputation, clustering & decomposition.
• Understanding of OOP concepts & design patterns, hands on experience with high performance production grade python code.
• Knowledge of supply chain and demand management challenges & principles.
• Experience working with large data sets, exploratory data analysis & advanced data visualization. 
• Experience dealing with tight operating deadlines & ambiguity.

Our hybrid work model

At ELC, we believe that efficiency doesn’t depend on being in the office five days a week. To support work-life balance, we offer our office-based colleagues the opportunity to work from home up to 12 days per month. 

Our Benefits

At ELC, we’re excited to offer you a variety of benefits; enjoy exclusive discounts on our premium brands including Estée Lauder, Tom Ford, Jo Malone London, La Mer, and many more. We also provide a yearly bonus to recognize your contributions. You’ll also have access to our flexible cafeteria plan, providing personalized options for your specific needs. Get active with the AYCM sport pass program available as a self-financed option tailored to your fitness goals. We care about your well-being, our private health insurance with Medicover ensures you have access to quality healthcare. We also provide 24/7 mental health support through Magellan Healthcare, ensuring you and your family have access to professional counseling whenever needed. Additionally, enjoy free access to LinkedIn Learning for continuous development, and take advantage of our mobile fleet plan. 

We are an equal opportunity employer. We welcome applications from candidates of all backgrounds. Minorities, women, veterans, and individuals with disabilities are encouraged to apply. It is Company's policy not to discriminate against any employee or applicant for employment on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability.