Jing Xia
About Jing Xia
Jing Xia is a Staff Data Scientist at Faire, specializing in strategies for optimizing retailer growth. With a strong educational background in Mathematics and Statistics, Xia has held various data science roles at notable companies including Capital One and Uber.
Work at Faire
Jing Xia has been employed at Faire as a Staff Data Scientist since 2022. In this role, Xia focuses on leveraging data science techniques to optimize retailer growth. This includes developing strategies for customer acquisition, marketing, and lifecycle engagement. The position involves analyzing data to inform business decisions and improve overall performance.
Previous Experience at Capital One
Prior to joining Faire, Jing Xia worked at Capital One in various capacities. Xia served as a Senior Data Scientist from 2016 to 2017, following a previous role as a Senior Data Scientist from 2015 to 2016. Additionally, Xia worked as a Statistician and data scientist from 2014 to 2015. These roles involved utilizing statistical methods and data analysis to drive insights and support decision-making processes.
Experience at Uber
Jing Xia held multiple positions at Uber, contributing to data science initiatives. Xia worked as an Applied Scientist from 2017 to 2020 and then advanced to the role of Senior Applied Scientist and Tech Lead Manager from 2020 to 2022. In these roles, Xia led data-driven projects aimed at enhancing customer engagement and retention, applying advanced analytical techniques to improve user experiences.
Education and Expertise
Jing Xia holds a Bachelor of Science (B.Sc.) in Mathematics from Beijing Normal University, where Xia studied from 2008 to 2012. Following this, Xia earned a Master's degree in Statistics from the University of Illinois Urbana-Champaign, completing the program from 2012 to 2014. This educational background provides a strong foundation in quantitative analysis and statistical methodologies, which are essential for data science roles.
Internship Experience
In 2011, Jing Xia completed a summer internship at KPMG China. This internship provided Xia with early exposure to the professional environment and experience in data analysis within a consulting context. The internship lasted for one month and took place in Beijing.