Job Information
Amazon Principal Research Scientist , Product Knowledge in Seattle, Washington
Description
Does the idea of setting the strategic direction for the product ontology that supports Amazon stores sound exciting? Would it be your dream job to generate, curate and manage product knowledge highlighting all of Amazon's mammoth selection and services from door knobs to books to dishwasher installation to things that haven’t even been invented yet? Do you want to help use data to make finding and understanding Amazon's product space easier?
The vision of the Product Knowledge Ontology Team is to provide a standardized, semantically rich, easily discoverable, extensible, and universally applicable body of product knowledge that can be consistently utilized across customer shopping experiences, selling partner listing experiences, and product catalog enrichment. As a Principal Research Scientist you will lead the design and build world-class, intuitive, and comprehensive taxonomy and ontology solutions to optimize product discovery and classification.
Key job responsibilities
Work with Product Knowledge leadership team to set strategic direction for ontology platform development
Design and create knowledge models that leverage cutting-edge technology to meet the needs of Amazon customers
Influence across a broad set of internal and external team stakeholders (engineers, designers, program and business leaders) while delivering impactful results for both manufacturers and customers
Evangelize the powerful solutions that ontologies can to offer to solve common and complex business problems
Use Generative Artificial Intelligence (generative AI) models to solve complex schema management use cases at scale
Analyze knowledge performance metrics, customer behavior data and industry trends to make intelligent data-driven decisions on how we can evolve the ontology to provide the best data for customers and internal users
Own business requirements related to knowledge management tools, metrics and processes
Identify and execute the right trade-offs for internal and external customers and systems operating on the ontology
Support a broad community of knowledge builders across Amazon by participating in knowledge sharing and mentorship
Basic Qualifications
10+ years of tech industry or equivalent experience
PhD in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field
Experience working effectively with science, data processing, and software engineering teams
Preferred Qualifications
- Experience implementing models and tools through the use of high-level modeling languages (AMPL, Mosel, R, Matlab, Julia)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $170,500/year in our lowest geographic market up to $294,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.