Summary
Wojciech Szczypek is a Senior Data Scientist based in Warsaw with 7 years of experience building production-grade ML and data platforms that turn messy inputs into reliable business signals. He has led end-to-end recommender systems, intermittent-demand forecasting, and feature-service architectures on Azure and Databricks, and introduced Databricks company-wide to standardize ingestion and ETL pipelines. Wojciech combines applied ML (content/collaborative recommenders, computer vision prototypes, LLM-driven data quality) with strong MLOps practice—shipping models into production and running robust A/B and adaptive bandit tests. He’s worked across retail and e-commerce at scale (Empik, MYMENU.PL, marktguru) and consults on personalization and data initiatives to accelerate product impact. Beyond engineering, he teaches data science workshops and co-founded a nationally recognized social project, showing an unusual blend of technical leadership and community engagement. An avid skier and sailor, he often applies the same experimental, iterative mindset from sports to optimizing complex data systems.
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Vienna
Bachelor of Science (in Engineering degree) Data Science, Bachelor of Science (in Engineering degree) Data Science at Warsaw University of Technology
Math-physics profile, Math-physics profile at III Liceum Ogólnokształcące im. Marynarki Wojennej RP w Gdyni
Master of Science - MS Data Science, Master of Science - MS Data Science at Monash University