Implement standards and best practices in modeling, optimization, and model criticism using proven statistical methods and business context Lead development and orchestration of complex data processes, from ingest to egress Work cross-functionally to develop and implement a standardized data model that serves multiple stakeholders Mentorship, including training and code review, of other data scientists on the team