Shirley Siyu Wang

About Shirley Siyu Wang

I lead applied science and data science at AWS, building recommendation systems that generate 380M+ decisions per day across millions of enterprise accounts — and measuring whether they actually change how customers behave over time. My work sits at the intersection of large-scale ML systems and rigorous causal thinking. On the systems side: full recommendation pipelines from forecasting-based candidate generation through dynamic ranking and personalized scoring. On the measurement side: experimentation frameworks, counterfactual analyses connecting engagement to long-term customer outcomes (churn reduction, spend growth), and north-star metric redesigns when existing ones were measuring the wrong thing. More recently I\'ve been pushing into generative AI — LLM-powered recommendation explanations, a conversational recommender interface, and an LLM-as-judge quality evaluation system that now gates production launches. I guide model selection across GenAI initiatives, balancing benchmark performance against latency requirements. I built and scaled the science team from scratch covering job families of Applied Science, Data Science and Machine Learning Engineering, and have spent four years developing senior ICs into independent technical leaders who drive projects end-to-end with minimal hand-holding. I present recurring science reviews to director and VP audiences and own investment allocation across a portfolio of four product surfaces. I\'m actively looking for my next role. What excites me most: DS/ML Manager or Applied Science Manager roles at frontier AI companies; Staff or Principal DS roles where the problem space is genuinely hard; and Director of AI/DS at startups that have validated PMF and are ready to build their science function properly (Series B/C ). Key areas: recommendation systems · ranking · personalization · LLM evaluation · causal inference · experimentation · generative AI · production ML · team building

Experience

1. Amazon Web Services (Aws)

   Amazon Web Services (AWS)

   Present

Education

• Tongji University

  Bachelor of Science (B.S.), Mathematics and Statistics

• Stanford University Graduate School of Business

  Stanford LEAD: Corporate Innovation Certificate

• University of Illinois Urbana-Champaign

  Master of Science (M.S.), Statistics