Jessica Wang is a software engineer and data scientist with 10 years of experience building production ML systems, currently contributing to Microsoft from Bellevue. She has driven measurable business impact—designing a DistilBERT-based moderation model with <10% false positives and doubling recommender clicks at iHerb—while also improving marketing lift through custom customer segmentation and CLV/churn models. Her background combines economics (BS, MS) and an MS in Data Science, giving her a strong quantitative lens for turning data into actionable product decisions. Comfortable across the ML lifecycle, she has delivered end-to-end pipelines and uplifted model performance dramatically in prior roles at Ubisoft and iHerb. Colleagues benefit from her blend of rigorous evaluation and pragmatic engineering that focuses on real-world metrics.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Economics, Bachelor of Science - BS, Economics at Wuhan University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of San Francisco
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