Manager, Applied Science, AB Marketing Tech
Core
Lead a world-class team of applied scientists to own the science strategy powering customer acquisition, engagement, monetization, and retention for Amazon Business, directly influencing over $40B in annual revenue.
Role type
Manager, Applied Science (Marketing Tech)
Builds
Production predictive modeling stacks, causal inference frameworks, and experimentation methodologies for B2B customer lifecycle management.
Domain
B2B Retail / Marketing Science / Machine Learning
Deliverable
production ML models
Required skills
People leadership, team building, research agenda definition, statistical methodology, business strategy translation, predictive modeling, causal inference, fraud detection, behavioral segmentation
Preferred skills
Deep learning, computer vision, complex software systems development, algorithm development for business applications
Technologies
NLP, Information Retrieval, Analytics, Deep Learning, Computer Vision
Responsibilities
Build and lead a high-performing science team; own predictive modeling for customer identification and churn; build attribution frameworks for marketing investment; lead science for new member acquisition; develop behavioral segmentation for conversion; develop fraud detection models; establish organization-wide experimentation frameworks.
Seniority
Manager, hands-on IC with team leadership