Summary
Mona Thiele is a Senior Data Scientist focused on growth, blending a Master's in Statistics with 4+ years of hands-on experience across fintech, AI, and Meta to turn marketing measurement into actionable growth strategies. She specializes in attribution, incrementality, MMM, LTV optimization and experimentation, and is fluent in SQL, Python and R while also contributing to internal statistical tooling at Meta. At DeepL and MoonPay she has bridged marketing, finance and sales to drive measurement-led decision making and ABM for enterprise customers. Her background spans both advanced statistical modeling and product-facing analytics—she even applied ML methods from finance to biomedical research during her master’s thesis. Based in Barcelona, she’s comfortable consulting senior stakeholders and shipping repeatable analytics that directly impact revenue.
4 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Biology/ Biochemistry, Bachelor of Science - BS, Biology/ Biochemistry at University of Regensburg
UPC Universitat Politècnica de Catalunya
German, English, Spanish, Catalan