Data Scientist

Your new company 

Our partner is a global beauty powerhouse, with a portfolio of iconic brands that have shaped the beauty industry for decades. Due to their continued growth, they are now hiring a Data Scientist for their global team in Budapest.

Your new role 

• 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
• Build at scale to efficiently support an extremely complex global prestige beauty business spanning over a dozen brands, hundreds of markets, multiple channels across a vast multi-category product portfolio
• Develop an understanding of regional & global business dynamics to inform & optimize modeling choices include optimal forecast strategies and modeling choices for specific markets, key channels, key customers, brands & categories
• Optimize model selection, parameter & performance tuning strategies & execution to maximize weighted forecast accuracy, attainment, stability & explainability
• 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)

What you'll need to succeed 

• Education: Bachelor’s degree or higher in Engineering, Computer Science, Statistics, Machine Learning, Operations Research or related field is preferred
• Direct experience: Minimum 3 years of related experience in Data Science or Operations Consulting 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 is a bonus
• Experience with pre and post processing of time series such as outlier detection & treatment, history imputation, clustering & decomposition
• Knowledge of supply chain and demand management is a bonus, but not a criteria
• Experience working with large data sets, exploratory data analysis & advanced data visualization
• Experience dealing with tight operating deadlines & ambiguity

What you'll get in return 

• Annual Bonus
• Cafeteria
• Employee product discount
• Wellbeing and assistance services
• Internal and external training opportunities

What you need to do now 

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.