Senior Applied Scientist, Selling Partner Selection Success
Core
Lead machine learning and AI initiatives to create scalable seller-facing solutions, automate business processes, and empower sellers to grow their business on Amazon.
Role type
Senior Applied Scientist (E-commerce / Seller Success)
Builds
Scalable seller-facing solutions, automated business processes, and innovative ML models for the e-commerce platform.
Domain
E-commerce, Seller Success, Machine Learning, AI
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Neural networks, Python, Java, C++, Data analysis, Model design and evaluation, Generative AI
Preferred skills
Large scale distributed systems, Modeling tools (R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy), Generative AI prompt engineering, AI integration for business value
Technologies
Python, Java, C++, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark
Responsibilities
Use machine learning and AI techniques to create scalable seller-facing solutions; Analyze and extract relevant information from large amounts of historical business data; Design, develop, and evaluate highly innovative models; Work closely with software engineering teams to drive real-time model implementations; Communicate with technical and business leadership to influence scientific directions.
Seniority
Senior, hands-on IC