Summary
Cosima Meyer is a senior data scientist and community builder with eight years of experience turning advanced quantitative research into production-ready AI and ML solutions across industry and academia. Trained with a PhD from the University of Mannheim and visiting stints at Rice and Sciences Po, she blends rigorous social-science methods—survival models, GAMs, network analysis—with modern ML, explainability, and MLOps using Python, R and cloud platforms. At IBM she led data-science methods and go-to-market generative AI initiatives, and she now serves as Senior Data Scientist at SAP while co-founding and leading SAP’s Data Science community to scale enablement and cross-team collaboration. Founder of R-Ladies Cologne and co-editor of the Methods Bites blog, she champions gender diversity and knowledge-sharing through hands-on tutorials that bridge research and production. Notably, her work often focuses on high-societal-impact problems and practical model governance, reflecting a persistent attention to bias, interpretability, and responsible AI.
8 years of coding experience
10 years of employment as a software developer
Visiting scholar, Visiting scholar at Rice University
Visiting student, Paris School of International Affairs at Sciences Po (PSIA), Visiting student, Paris School of International Affairs at Sciences Po (PSIA) at Sciences Po
Doctor of Philosophy (Ph.D.), Political Science, Computational conflict studies, Doctor of Philosophy (Ph.D.), Political Science, Computational conflict studies at University of Mannheim
Visiting student, Political Science, Visiting student, Political Science at Uppsala University
German, English, French, Spanish, Russian, Swedish