Work with cross-functional stakeholders to answer questions related to model-driven listing performance
Design and implement innovative measurement and communication techniques and tools that provide insight into our marketplace value-delivery mechanisms
Partner with Machine Learning Engineers to develop and refine marketplace management, valuation, and recommendation models
Lead discussions with business partners and leaders to create clarity, evaluate trade-offs, and drive decision making
Ensure data excellence of Machine Learning experimentation data pipelines and A/B testing framework integrations
Provide predictive insights into anticipated marketplace responses to changes in inventory prioritization methods
Requirements
A Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar)
8+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving