Sr. Business Intel Engineer, SCOT RL

Amazon's Supply Chain Optimization Technologies (SCOT) group is seeking a Senior Applied Scientist with Reinforcement Learning expertise to drive innovation in machine learning applications. This role combines cutting-edge research with practical implementation, directly impacting Amazon's global inventory planning systems worth billions of dollars. The position involves working with large-scale data analysis, developing and enhancing machine learning models, and collaborating with cross-functional teams.

As a Data Scientist in SCOT, you'll work alongside scientific and engineering leaders, contributing to both academic research and real-world applications. The role requires strong analytical problem-solving skills, expertise in data analysis, and the ability to communicate complex technical concepts to various stakeholders. You'll be responsible for improving existing ML methodologies, developing new data sources, and conducting computational experiments.

The ideal candidate should have extensive experience with SQL, programming languages like Python, and AWS technologies. They should be comfortable working with large datasets and have a strong background in information retrieval, data science, and machine learning. The role offers competitive compensation based on geographic location and experience, ranging from $117,300 to $202,800 per year, plus additional benefits and equity opportunities.

This position represents an opportunity to work at the forefront of applying machine learning to solve real-world supply chain challenges, making significant contributions to both academic research and practical applications. The role combines technical expertise with business impact, requiring someone who can bridge the gap between complex technical solutions and business stakeholder needs.