Daria Pus is a data science leader and manager with over a decade of experience translating economic research into production-ready machine learning and analytics at scale. With a PhD in Economics from UT Austin and roles spanning academic research to product-facing applied science at Uber and now Google, she excels at bridging rigorous causal inference and experimental design with real-world product decisions. She has led and grown cross-functional teams focused on pricing, marketplace, and demand modeling, bringing both technical depth and strategic product judgment. Colleagues rely on her ability to turn complex economic models into actionable, measurable outcomes and to mentor scientists into reliable production engineers. Based in San Francisco, she combines an economist’s framing with hands-on data science leadership to drive metrics-forward impact.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Economics, Doctor of Philosophy (PhD) Economics at The University of Texas at Austin
Master of Arts Economics, Master of Arts Economics at Central European University
Contributions:4 commits, 2 pushes, 3 branches in 1 year 10 months
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