Jim Liu is an Associate Data Scientist based in Dallas with eight years of analytic and engineering experience, currently improving search and pricing systems at Amadeus using causal inference and machine learning. He holds an MS in Statistics from Georgia Tech and blends rigorous probabilistic modeling with practical data engineering from prior internships in pricing, operations research, and contracts. At Amadeus he focuses on making journey servers and search engines more accurate and robust, translating causal insights into production-ready features. His background as a Bayesian statistics teaching assistant signals strong foundations in uncertainty quantification and experimental design. Jim’s cross-domain experience—from financial regulatory work to biotech pricing teams—gives him an uncommon ability to bridge business constraints and technical solutions. He is pragmatic about deploying models and attentive to the downstream impact of algorithmic changes on user journeys.
8 years of coding experience
Bachelor of Science - BS, Risk Management and Insurance, Bachelor of Science - BS, Risk Management and Insurance at National Chengchi University
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Georgia Institute of Technology
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