Nadia Florez

Nadia Florez is a skilled Product Data Scientist at Mozilla, specializing in optimizing product features through A/B testing, data analysis, and cross-functional collaboration. With experience as a Marketing Data Scientist at Affinity Answers, Nadia developed advanced recommender systems and tailored technical methodologies to align with business goals. As a Research Fellow at The University of Texas at Austin, Nadia established automated data pipelines and created tools for data-driven decision-making. Academic qualifications include a Master of Science in Information Technology Management and a Master’s degree in Economics, complemented by a Bachelor's degree in Economics and Applied Math.