Sr. Applied Scientist, Geospatial Science
Amazon is seeking a Senior Applied Scientist, Geospatial Science, to lead a team focused on complex ML problems in address normalization, geocode learning, and travel time estimations for Amazon Logistics. The role involves defining team charters, proposing impact-driven solutions, and providing ML thought leadership while contributing to the science community through research and publications.
Customer addresses, Geospatial information, and Road-network play a crucial role in Amazon Logistics' Delivery Planning systems. The Geospatial science team owns exciting learning problems in the areas of Address Normalization, Geocode learning, Travel time estimations, Maps conflation, and attributes learning. These are foundational inputs that go into route planning and help in improving the delivery experience for both transporters and end customers. This role specifically focuses on problems related to address normalisation and geocode learning.
As a Senior Applied Scientist, you will be responsible for leading a team of scientists experienced in building ML models to solve complex business problems and testing them in a production environment. The scope of the role includes defining the charter for the team and proposing solutions that align with the organization's priorities and production constraints while still creating impact. You will achieve this by leveraging strong leadership and communication skills, data science skills, and by acquiring domain knowledge pertaining to delivery planning systems. You will provide ML thought leadership to technical and business leaders, and possess the ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences.
Here is a glimpse of the problems that this team deals with on a regular basis:
Posted June 3, 2026