Applied Science Manager, Amazon Digital Advertising
Core
Lead a team of scientists to measure the real-world impact of Amazon's marketing at billion-dollar scale, turning petabytes of retail and customer signals into causal insights to optimize ad spend and inform external advertiser tools.
Role type
Senior IC Applied Science Manager (Causal Inference & Measurement)
Builds
Causal inference models, measurement systems, and decision engines for Amazon's internal marketing and external ad products.
Domain
E-commerce, Digital Advertising, Causal Inference
Deliverable
production ML models
Required skills
Causal inference, Machine Learning, Statistics, Econometrics, Large-scale data modeling, Team leadership, Strategic roadmap planning, Experiment design, Model productionization, Java/C++/Python programming
Preferred skills
Deep learning, Computer vision, Quantitative marketing expertise, Complex software system architecture
Technologies
Java, C++, Python, Deep Learning frameworks, Distributed retail systems
Responsibilities
Lead, hire, and mentor a team of scientists and engineers; Set technical vision and roadmap for measurement initiatives; Partner with senior leadership to define measurement strategies; Guide the team in applying ML and statistics to productionize models; Drive design and analysis of large-scale online experiments; Establish automated processes for model development and implementation.
Seniority
Senior, hands-on IC with management responsibilities
