Data Scientist, Financial Insights and Process Optimization

2 days ago


Vancouver, British Columbia, Canada Amazon Full time
Amazon Financials Foundation Services (AFFS) Job Opportunity

We are a science and engineering team at Amazon that utilizes ML models and LLMs to solve real-world problems faced by accountants and financial analysts.

AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day. 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.

This includes:

  • Developing ML models or leveraging foundation models to produce proactive insights.
  • Leveraging LLMs to answer questions asked during month-close reconciliation research.
  • Running experiments over large datasets for new predictive learning approaches for financial analysis.
  • Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving.
  • Developing training/evaluation datasets for model fine-tuning.
  • 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 will need to have a start-up like mindset, as you will be working in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. The ideal candidate should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes.

Requirements and Qualifications
  • 3+ years of solving business problems through machine learning, data mining, and statistical algorithms experience.
  • PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • 3+ years of programming in Java, C++, Python, or related language experience.
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
  • Experience using Unix/Linux.
  • Experience in professional software development.
  • Experience with finance or accounting.
Compensation and Benefits

The base salary for this position ranges from $149,300/year up to $249,300/year. Salary is based on a number of factors 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.



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