Data Scientist

6 hours ago


Budapest, Hungary HAYS Hungary Kft. Full time

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 & ambiguityWhat you'll get in return • Annual Bonus• Cafeteria• Employee product discount• Wellbeing and assistance services• Internal and external training opportunitiesWhat 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.


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