Applied Scientist II, Predictive Targeting
Core
Build science for Amazon's marketing targeting using online optimization, reinforcement learning, and incrementality modeling to optimize business outcomes.
Role type
Applied Scientist (Predictive Targeting)
Builds
Online optimization systems, reinforcement learning methods, incrementality models, and agentic decision workflows
Domain
E-commerce / Marketing / Machine Learning
Deliverable
production ML models
Required skills
online optimization, reinforcement learning, incrementality modeling, causal inference, experimental design, high-performance computing, numerical optimization
Preferred skills
professional software development, process improvement, benchmark creation for GenAI
Technologies
Java, C++, Python, Unix/Linux
Responsibilities
Build online optimization and reinforcement learning methods; Develop incrementality and uplift models; Improve segment-based targeting models; Contribute to the intelligence layer of agentic systems; Design and analyze experiments; Write production-quality model code and partner on deployment; Present methods and results to stakeholders
Seniority
Mid-Senior, hands-on IC