Summary
Richard Kunert is Head of Data Science based in Berlin with nine years of experience building ML-powered personalization and recommendation systems for consumer and renewable energy businesses. He combines classical and neural-network approaches—collaborative filtering, deep learning, and domain-specific feature engineering—to ship production APIs and measurable A/B-tested gains (e.g., a 3% CTR uplift at Secret Escapes). A former cognitive neuroscience PhD, he brings rigorous experimental design and brain-imaging analysis experience to data problems, which informs his emphasis on interpretability and robust evaluation. He has led and scaled data teams, owned data science toolchains, and created educational programs to grow in-house talent, blending research depth with product-focused delivery. Notably, his background in neuroscience and public science communication gives him a rare mix of technical leadership and clear explanation skills when translating complex models to business impact.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Cognitive Neuroscience and Psycholinguistics, Doctor of Philosophy (Ph.D.) Cognitive Neuroscience and Psycholinguistics at International Max Planck Research School (IMPRS)
Master of Science (M.Sc.) Brain & Cognitive Science, Master of Science (M.Sc.) Brain & Cognitive Science at University of Amsterdam
Master of Arts (M.A.) Psychology, Master of Arts (M.A.) Psychology at University of Glasgow
English, German, French, Dutch