The role involves architecting goal setting and decomposition mechanisms for autonomous agents operating in uncertain environments, alongside designing and implementing dynamic planning systems like hierarchical planning and self-refinement loops. Responsibilities also include developing evaluation frameworks and prototyping agents that interface with various external systems to pursue goals safely.

This role involves leading a team of data scientists to design, develop, and deploy advanced analytics and AI solutions focused on driving commercial growth, seller efficiency, and customer engagement across Sales, Marketing, and Digital channels. The leader is accountable for the full lifecycle of these initiatives, ensuring solutions are production-ready and deliver measurable business outcomes.

Director of Data Science overseeing analytics for claims optimization at Sedgwick

The core function involves leading the development of analysis specifications, programming, and conducting analyses while providing technical guidance for Real World Data (RWD) research. This includes ensuring quality standards and methodological rigor through the validation of key variables and development of patient cohorts.