Research Scientist

1 month ago


Vancouver, Canada Amazon Full time
h3>Applied Scientist, Financial Insights and Actions

Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and LLMs to solve real-world problems faced by accountants and financial analysts.

We are part of the Amazon Financials Foundation Services (AFFS) organization. AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day, including orders, shipments, payments, and inventory movements. AFFS is at the center of Amazon's key initiatives and fuels the growth of Amazon's businesses worldwide by ensuring that businesses can easily integrate with our services and that accountants and financial analysts have the right tools to use our data.

As an Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. p>

  1. Developing ML models or leveraging foundation models to produce proactive insights.
  2. Leveraging LLMs to answer questions asked during month-close reconciliation research.
  3. Running experiments over large datasets for new predictive learning approaches for financial analysis.
  4. Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving.
  5. Developing training/evaluation datasets for model fine-tuning.
  6. Collaborating with engineering to productionalize research.

    As an interdisciplinary team, we maintain a balance between scientific research and productionalization. This means you'll get a unique opportunity to influence the global scientific community by publishing papers externally and internally while also seeing your work used on a daily basis to help close the books and provide near real-time insights into Amazon's financials. You'll also have exposure to senior leadership and influence the scientific roadmap of the team.


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