• Apply modeling and machine learning techniques to business problems at the intersection of product and data science • Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation • Diagnose data and model assumptions, curating and testing appropriate models for each dataset and business objective • Identify, compute and validate the appropriate metrics to measure success • Deliver well-documented datasets, tools, and reports to key technical and business partners • Serve as a strategic thought partner to product managers and business stakeholders, directly influencing product direction and improving user experience • Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc • Effectively communicate findings and insights to both technical and non-technical audiences, driving adoption and understanding of ML-driven solutions.