Applied Scientist II, Advertising Incrementality Measurement
Core
Lead the development of scientifically rigorous causal inference models to measure the effectiveness of Amazon Ads and guide advertiser decisions.
Role type
Senior Applied Scientist (Causal Inference & ML)
Builds
Production-grade advertising measurement tools and novel scientific models for Amazon Ads.
Domain
Advertising technology, Causal Inference, Machine Learning, Big Data analytics.
Deliverable
production ML models
Required skills
Causal inference, Deep Learning, Machine Learning, Econometric modeling, Java, C++, Python, Algorithms and data structures, Numerical optimization, Data mining, Parallel and distributed computing, High-performance computing
Preferred skills
Unix/Linux, Professional software development
Responsibilities
Develop new models describing advertising impact on customer actions, Own end-to-end development of novel scientific models, Improve and simplify existing solutions, Review and audit modeling processes, Align scientific developments with business strategy, Identify new opportunities from data insights, Develop and document scientific research
Seniority
Senior, hands-on IC
