Siyuan (Nina) Feng
About Siyuan (Nina) Feng
Siyuan (Nina) Feng is a Data Scientist specializing in machine learning, currently employed at Ibotta, Inc. She has a background in marketing analytics and causal inference, with previous experience at Deloitte, L'Oréal, and Vee.
Current Role at Ibotta
Siyuan (Nina) Feng currently serves as a Data Scientist specializing in Machine Learning at Ibotta, Inc. She has been in this role since 2022, contributing to the company's data-driven decision-making processes. Her responsibilities include developing and implementing machine learning models that enhance operational efficiency and marketing strategies.
Previous Experience at Ibotta
Prior to her current position, Feng worked at Ibotta, Inc. as an Associate Decision Scientist from 2021 to 2022 for 11 months. During this time, she focused on data analysis and decision-making support. She also held the position of Decision Scientist for 8 months in 2022, where she applied her expertise in marketing analytics.
Educational Background
Feng studied at Fudan University, where she earned a Bachelor of Arts in Advertising from 2015 to 2019. She furthered her education at the University of Rochester, obtaining a Master of Science in Marketing Analytics from 2019 to 2020. Additionally, she participated in an exchange program at the University of Cologne in 2018, focusing on Economy, Management, and Social Science.
Skills and Expertise
Siyuan (Nina) Feng possesses advanced skills in experimental design and causal inference, particularly within marketing analytics. She specializes in building and automating counterfactual causal inference models aimed at optimizing marketing spend. Her expertise also includes managing bonus programs that contribute significantly to company revenue.
Professional Experience Prior to Ibotta
Before joining Ibotta, Feng gained diverse experience in various roles. She worked as a Marketing Analyst at L'Oréal for 6 months in 2018, and as a Data Scientist at Vee for 2 months in 2020. Additionally, she served as a Journalist at Xinhua News Agency for 2 months in 2017 and completed a 3-month internship as an Audit Intern at Deloitte in Shanghai, China.