Applied Scientist, Bidding Science and Experimentation
Core
Design and deploy next-generation pricing algorithms and experimentation infrastructure for Amazon's Real-Time Bidding (RTB) system to optimize ad prices and drive sales.
Role type
Senior Applied Scientist (ML & Optimization)
Builds
Production bidding algorithms, online optimization systems, and experimentation tools for the DSP.
Domain
Advertising technology, Real-Time Bidding, Machine Learning, Online Optimization.
Deliverable
production ML models
Required skills
Machine learning, online optimization, causal inference, reinforcement learning, A/B testing, statistical analysis, algorithm design, distributed computing, Java/C++/Python
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python, Unix/Linux
Responsibilities
Build and deploy machine learning models for production; develop algorithms for online optimization, bandits, and reinforcement learning; design and run A/B experiments with statistical analysis; establish automated monitoring and feedback processes; mentor scientists and recruit team members.
Seniority
Senior, hands-on IC with leadership responsibilities
