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Data Science Manager

1 month ago

Budapest, Hungary HAYS Hungary Kft. Full time

Your new companyOur 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 roleBuild, 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 horizonsBuild 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 portfolioDevelop 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 & categoriesDevelop subject matter expertise around forecast strategy, business dynamics, data flows and stat forecast engine architecture to support on-boarding and ramp up of new hire data scientists into the organizationCo-ordinate & prioritize data scientist team deliverables, ensure standardization in approach to design & builds (library architecture & performance standards, scalable & reusable design)Stay abreast of latest developments in AI/ML demand forecasting and integrate into platform. Foster a culture of excellence & innovation in the team thru mentorship & guidanceWhat you'll need to succeedBachelor’s degree or higher in Engineering, Computer Science, Statistics, Machine Learning, Operations Research or related fieldMinimum 3-5 years of related experience in Data Science or Operations Consulting role related to statistical demand forecastingKnowledge 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 performanceKnowledge 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/LLM experience is a bonusExperience with pre and post processing of time series such as outlier detection & treatment, history imputation, clustering & decompositionKnowledge of supply chain and demand management challenges & principlesExperience 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 opportunitiesWhat you need to do nowIf 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.