Summary
Jing Yang is a senior research scientist based in Bellevue, Washington with eight years of applied data science and research experience across healthcare, finance, and e-commerce. Currently at Amazon since 2020, she brings a strong statistical foundation (M.S. Statistics, Univ. of Minnesota) and hands-on expertise in modeling, experimental design, and productionizing analytics from prior roles at JPMorgan Chase and Nationwide Children's Hospital. Her early work as a data modeler and teaching assistant highlights an ability to translate complex statistical methods into actionable insights and to communicate them clearly to stakeholders. Known for blending rigorous quantitative techniques with practical product-minded execution, she excels at turning noisy business data into robust, deployable solutions. An international background in actuarial science informs her probabilistic approach to risk and decision-making, a less obvious strength that helps guide scalable, trustworthy models.
9 years of coding experience
5 years of employment as a software developer
Bachelor's Degree, statistics and Actuarial science, Bachelor's Degree, statistics and Actuarial science at Chongqing University
University of Minnesota Twin Cities