Drive innovation in tax classification systems as an Applied Scientist with Amazon. Use AI and machine learning to tackle complex problems and enhance tax accuracy globally.As an Applied Scientist at Amazon, you will lead machine learning initiatives to improve tax classification and support our transactional tax platform. Your role will involve working with massive datasets to apply generative AI and predictive models that comply with evolving international tax regulations. Collaborate closely with SDEs, Product Managers,



and other stakeholders to innovate and enhance the tax experience for Amazon customers.Key Responsibilities:Develop machine learning models for tax classification accuracyAnalyze large datasets to identify causal factorsInnovate with generative AI for sparse data modelingCollaborate with cross-functional teams to implement solutionsEnsure compliance with global tax legislation requirementsRequirements:3+ years building business application modelsPhD or Master's with 4+ years in CS, ML, or related fieldsExperience in Java, C++, or PythonStrong background in algorithms and data structuresFamiliarity with Unix/Linux environmentsContribute your machine learning expertise to shape Amazon's tax systems and enhance global customer experiences.

📌 Applied Scientist For Tax Solutions (Vancouver)
🏢 Amazon
📍 Vancouver