Summary
Lisa Song is a Data Science Manager with 11 years of experience building and scaling analytics and machine learning solutions across major tech and finance firms. Currently leading data science initiatives at Facebook after impactful roles at Microsoft and Citi, she translates complex statistical models into strategic, quantifiable recommendations for senior leadership. Trained in econometrics at Duke and advanced AI at Stanford, she blends rigorous causal inference with practical ML deployment. Known for strong cross-functional communication, she secures stakeholder buy-in and drives adoption of data-driven programs. Based in Bellevue, WA, she pairs technical depth with product-minded leadership to move experiments from prototype to measurable business impact. An understated strength is her ability to synthesize noisy signals into clear, actionable KPIs that inform long-term strategy.
11 years of coding experience
6 years of employment as a software developer
Econometrics, Econometrics at Duke University
Graduate student Artificial Intelligence, Graduate student Artificial Intelligence at Stanford University
Chinese, English