Summary
Ringolf Thomschke is a senior data scientist based in Berlin with a decade of experience building predictive models, attribution systems, and recommender engines across media, fitness-tech, and finance clients. He combines a rigorous statistical background (MSc in Statistics) with hands-on Python and R development to turn marketing and survey data into actionable insights and measurable business impact. As a member of the distributed DataWrk cooperative he focuses on high-stakes, quality-driven engagements for private equity and other clients, deliberately avoiding bench-led staffing to ensure expertise fits each project. His career spans roles at Universal Music Group and Gymondo where he led marketing analytics, A/B testing, and attribution modeling, and he has additional experience in NLP and statistical software development. Colleagues describe him as someone who values transparency, knowledge sharing, and building a professional “home” while delivering fast, reliable results.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.), Angewandte Mathematik, Bachelor of Applied Science (B.A.Sc.), Angewandte Mathematik at HTWK Leipzig
Master of Science (M.Sc.), Statistik, Master of Science (M.Sc.), Statistik at Humboldt-Universität zu Berlin
German, English, French