Summary
Scott Kaiser is a data-driven engineering leader with 11+ years delivering machine learning, analytics, and product improvements across search and enterprise software, currently managing ML Data Initiatives at A9.com. He combines rigorous training in economics and an MBA from Wharton with hands-on experience building predictive models, instrumentation, and production analytics to inform pricing, churn reduction, and operational decisions. Scott has repeatedly led large cross-functional teams—engineering, data science, QA, and product—to ship performance and scalability improvements and to turn analytic insights into measurable revenue gains. His work spans both strategic product management and deep technical execution, from Monte Carlo pricing simulations to automated telemetry migrations to AWS. Known for candid, collaborative leadership, he has a track record of reducing attrition, improving system performance, and convincing executives to adopt data-driven process changes. Based in Belmont, CA, he brings a rare blend of business acumen and technical depth that accelerates the path from analysis to market impact.
11 years of coding experience
19 years of employment as a software developer
BA, Economics, BA, Economics at Yale University
MBA, Marketing, Operations & Information Technology, MBA, Marketing, Operations & Information Technology at University of Pennsylvania - The Wharton School
English, French