Pablo Azurduy is a Data Science Manager in Operations with nine years of experience applying operations research and causal inference to optimize complex marketplaces and operational processes. Currently leading Ops data science at Uber in Amsterdam, he has progressed through technical and managerial roles across EMEA and LATAM, blending hands-on modeling with cross-functional program leadership. His background in industrial engineering and an MSc in Operations Research informs a pragmatic focus on decision-support tools that drive measurable impact. Known for turning causal insights into scalable tooling, he bridges analytics, engineering, and operations to influence product and policy choices. Fluent in navigating both regional markets and global teams, he brings a rare combination of research rigor and operational execution.
9 years of coding experience
9 years of employment as a software developer
MSc Operations Research Operations Research, MSc Operations Research Operations Research at Universidad de Chile
Contributions:100 pushes, 1 branch in 2 years 4 months
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