Data Science Manager Budapest

Data Science Manager
Budapest

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

Develop 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 organization

Co-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 & guidance

What you'll need to succeed

Bachelor’s degree or higher in Engineering, Computer Science, Statistics, Machine Learning, Operations Research or related field

Minimum 3-5 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/LLM 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 challenges & principles

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.