Steffen Bunzel
Product Lead - Personalisation
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolSteffen Bunzel is a product leader specializing in personalization and search, currently shaping Picnic's app into an intelligent, personal grocery assistant after eight years building ML-driven products. He blends product strategy, design and hands-on data science—having led teams of up to 30 engineers, PMs and designers and previously managed an 8-person data science group focused on recommendations. Steffen’s background in engineering and management (TU Berlin) and a Machine Learning Nanodegree underpin his ability to move models from prototype to production at scale. He’s comfortable at the intersection of product and engineering, turning complex AI/ML capabilities into user-facing features like personalized search and promotions. Notably, he moved from building data pipelines and Spark-based models to owning end-to-end product outcomes, demonstrating both technical depth and product mastery.
8 years of coding experience
6 years of employment as a software developer
Machine Learning Engineer Nanodegree, Machine Learning Engineer Nanodegree at UdacityMaster of Science (MS), Engineering and Management, Master of Science (MS), Engineering and Management at Technische Universität BerlinExchange Program, Management, Exchange Program, Management at Bayes Business School
German, English, Spanish
Github Skills (19)
cookiecutter10
hugo-theme9
python9
multilingual8
hugo8
responsive7
grayscale7
high-performance7
interpretable-machine-learning6
machine-learning4
deep-learning3
scikit3
mercury3
machine-learning-workflow2
data-science2
Programming languages (2)
Github contributions (5)
sbunzel/why
Jan 2020 - May 2021
An exploration of the world of interpretable machine learning
Contributions:5 PRs, 45 pushes, 7 branches in 1 year 4 months
deep-learninginterpretableinterpretable-machine-learningmachine-learning
sbunzel/iml-playground
Feb 2021 - Jul 2021
Exploring interpretable machine learning
Contributions:14 PRs, 31 pushes, 14 branches in 5 months
data-sciencedeep-learningmachine-learninginterpretableinterpretable-machine-learning
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