The Simulation and Experimentation group in the Amazon's Supply Chain Optimization Technologies organization is looking for a principal machine learning scientist to join the team to help build a large-scale simulation and experimentation platform that will be the innovation hub for Amazon's supply chain by enabling rapid experimentation new algorithms and policies from ideation to production. As a thought leader for the organization, you will have a passion for invention, and have the opportunity to be the key influencer in planning strategy, and bring business and industry context to science and technology decisions. The Supply Chain Optimization Technologies organization has a strong community of researchers in operations research, machine learning and economics that you will be collaborating with in your research and development.
In the role you will:
* Frame business problems into scalable solutions by leveraging the state-of-the-art in machine learning and related technologies. * Deliver scalable causal models for decision-making across diverse innovation products and help integrate them into production systems. * Champion a culture of innovation, scientific rigor, data-driven decision making, and operational efficiency in the organization. * Build products from the ground up. The role will sit at the heart of innovation in experimentation, and will help build a multi-year strategy for fast/cheap experimentation and insights from Amazon's vast experiment data sources including observational studies. * Hire, grow, mentor, and work with a strong team of collaborators, with backgrounds in economics, statistics, computer science, in keeping with the high Amazon bar.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.