Summary
Jie Gao is a Senior Data Scientist based in New York with 7 years of experience applying Bayesian Marketing Mix Modeling, causal inference, and experimentation to optimize multi-million to multi-billion dollar marketing budgets. At Walmart she built and deployed hierarchical MMMs and causal frameworks that improved omni-channel ROI and reduced forecasting and reporting friction, earning a “Driven for Results” award. Jie combines rigorous time-series, panel, and causal methods (Prophet, BSTS, ARIMA, DID, IV, RD) with production skills in Python, R, SQL and GCP to translate complex analytics into clear recommendations for marketing, finance, and engineering stakeholders. Now at Etsy, she focuses on turning advanced modeling into strategic growth levers, pairing econometrics training from NYU with hands-on pipeline and dashboard automation experience to accelerate decision cycles. An uncommon strength is her ability to balance hierarchical Bayesian models with pragmatic experimentation design, ensuring both actionable insights and measurable business impact.
7 years of coding experience
5 years of employment as a software developer
Master of Arts - MA Econometrics and Quantitative Economics, Master of Arts - MA Econometrics and Quantitative Economics at New York University
Bachelor of Arts - BA Economics, Bachelor of Arts - BA Economics at Zhejiang University of Finance & Economics
Chinese, English