Senior Applied Scientist, Selling Partner Selection Success
Core
Senior Applied Scientist leading machine learning and AI solutions to empower sellers to grow their business and provide a great customer experience on Amazon.
Role type
Senior Applied Scientist (Selling Partner Selection Success)
Builds
Scalable seller-facing solutions, automated and optimized key processes, real-time model implementations, and new feature creations for the e-commerce industry.
Domain
E-commerce, Seller Success, Machine Learning, AI
Deliverable
production ML models | product features
Required skills
Machine learning, AI techniques, Neural deep learning methods, Data analysis and extraction, Model design, development, and evaluation, Software engineering collaboration, Business problem identification, Solution proposal, Technical communication
Preferred skills
Generative AI tools integration, Large scale distributed systems, Modeling tools (R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy)
Technologies
Java, C++, Python, 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 Amazon's 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
