Sr. Manager, Applied Science, Marketing Measurement and Performance Science (MAPS)
Core
Spearhead the rapid growth of Marketing Measurement solutions by building scalable ML and causal inference systems to estimate marketing effectiveness and guide billion-dollar investment decisions.
Role type
Senior Manager, Applied Science (Marketing Measurement)
Builds
Scalable ML and causal inference solutions for Amazon marketing efforts
Domain
E-commerce / Marketing Analytics / Causal Inference
Deliverable
production ML models
Required skills
Large-scale machine learning, causal inference, statistical modeling, team leadership, hiring scientists, stakeholder alignment, data-wrangling, economics, deep learning
Preferred skills
PhD in CS/ML/Stats, big data technologies (AWS, Hadoop, Spark), programming (Java, C++, Python, R, MATLAB), research in practical applications
Technologies
AWS, Hadoop, Spark, Pig, Hive, Java, C++, Python, R, MATLAB
Responsibilities
Develop ML/DL and statistical modeling solutions describing marketing campaign impacts, own end-to-end development of novel causal inference models, recruit and mentor high-performing scientists, establish team mechanisms, audit modeling processes, align measurement plans with business strategy, formalize model assumptions, identify new opportunities from data insights
Seniority
Senior Manager, hands-on IC with people management