Jun Ong is an Applied Scientist with a decade of experience applying rigorous experimental design and analysis to product decisions on Uber’s Rider team. He owns A/B testing roadmaps for Home and Shopping features, teases apart heterogeneous and long-term treatment effects, and translates behavior insights into product and engineering strategy. Previously he built data pipelines and standardized Hive schemas at Uber for Business, bringing both hands-on analytics engineering and model-driven insight to roadmaps. Based in San Francisco with a BA in Economics from the University of Washington, he favors principled methodologies and novel measurement approaches to reduce user friction and inform long-term product vision.
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