Applied Science Manager, Stores-Ads Science
Core
Lead the Ads Impact initiative to measure and optimize how advertising creates value for shoppers and selling partners using causal inference and ML.
Role type
Applied Science Manager (Ads Impact)
Builds
Causal measurement systems, optimization algorithms, and ML models for advertising impact.
Domain
E-commerce advertising, causal inference, economic modeling, AI systems.
Deliverable
production ML models
Required skills
causal inference, experimental design, machine learning, optimization algorithms, team leadership, strategic roadmap planning, cross-functional influence
Preferred skills
Large Language Model fundamentals, causal modeling (graphical models, Bayesian networks, potential outcomes), A/B testing, quasi-experiments
Technologies
Java, C++, Python
Responsibilities
Lead a team of scientists to set technical vision and science roadmap; design experiments to identify causal mechanisms of advertising impact; develop optimization algorithms integrating causal signals into production; communicate findings to senior leadership.
Seniority
Manager, hands-on IC with leadership responsibilities
