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 accuracy
Analyze large datasets to identify causal factors




Innovate with generative AI for sparse data modeling
Collaborate with cross-functional teams to implement solutions
Ensure compliance with global tax legislation requirements Requirements:
3+ years building business application models
PhD or Master’s with 4+ years in CS, ML, or related fields
Experience in Java, C++, or Python
Solid background in algorithms and data structures
Familiarity with Unix/Linux settings Contribute your machine learning expertise to shape Amazon's tax systems and enhance global customer experiences.

📌 Applied Scientist For Tax Solutions Vancouver
🏢 Amazon
📍 Vancouver