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
• Robust background in algorithms and data structures
• Familiarity with Unix/Linux environments

Contribute your machine learning expertise to shape Amazon's tax systems and enhance global customer experiences.
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📌 Applied Scientist for Tax Solutions (British Columbia)
🏢 Amazon
📍 British Columbia