• Own end-to-end outcomes that require thinking across multiple models, data sources, and dynamical systems • Develop strategic roadmap for modeling inventory dynamics in both high and low observation-density regimes • Make appropriate technology choices depending on the maturity and nature of each problem • Collaborate across teams to foster a unified approach to development, facilitating consensus and driving effective outcomes • Directly contribute and execute on some projects, from inception to deployment and maintenance. • Supercharge and mentor teammates, introduce relevant advanced technologies, and build a culture of best practices for machine learning