Sr. Applied Scientist , Stores Economics and Sciences
Core
Lead large-scale science initiatives to lower cost-to-serve, optimize selection, and apply machine learning techniques across Amazon's Stores problems at a scale that shapes how customers shop.
Role type
Senior Applied Scientist (Stores Economics and Sciences)
Builds
Large-scale algorithms and production solutions for supply chain and marketplace problems
Domain
E-commerce / Retail / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Neural deep learning, Statistics, Economics, Causal inference, Optimization, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large scale distributed systems
Responsibilities
Lead science initiatives from research through production, design and implement ML/statistical models, drive team scientific agenda, collaborate to prototype and scale solutions, mentor and coach fellow scientists
Seniority
Senior, hands-on IC