Sr. Applied Scientist, Customer Behavior Analytics (Marketing Measurement Solutions)
Core
Develop scalable ML and causal inference solutions to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to marketing teams.
Role type
Senior Applied Scientist (Marketing Measurement)
Builds
Systems that describe how marketing campaigns impact customer actions and guide future business actions
Domain
E-commerce / Marketing Analytics / Causal Inference
Deliverable
production ML models
Required skills
Transformer models, LLMs, machine learning, deep learning, statistical modeling, data wrangling, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large scale distributed systems
Responsibilities
Develop solutions using Transformer models and LLMs to analyze campaign impact; Own end-to-end development of novel causal inference models; Improve and simplify existing solutions and frameworks; Review and audit modeling processes and results from other scientists; Work with marketing leadership to align measurement plans with business strategy; Formalize model assumptions and explain their reasonableness; Identify new opportunities based on data insights; Develop and document scientific research for the Amazon science community
