8+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale Experience in machine learning, quantitative methods, control systems, or reinforcement learning Ability to apply and implement research concepts, ultimately in production quality code Experience defining clear, testable research hypotheses, including intended impact on the business Deep knowledge of design of experiments, online experimentation approaches, preferably at scale Ability to formulate and advocate for R&D objectives and results to cross-functional team members including executive business leadership and product management Experience contributing and/or reviewing research for top conferences and publications Deep fluency in Java or Python. PhD in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry.