Applied Scientist, Financial Insights and Actions

Amazon; Vancouver; On-site; CAD 149,000 - 250,000; Full time

Job summary

A leading technology company in Vancouver seeks an Applied Scientist to leverage ML models for improving accounting processes. The role involves collaboration with domain experts, developing AI-based solutions, and publishing research. Candidates should have experience in machine learning, a relevant degree, and programming skills. Competitive salary between $149,300–$249,300 annually, along with a total compensation package.

Benefits

Total compensation package

Medical benefits

Equity options

Qualifications

• 3+ years of experience in solving business problems through machine learning.
• Experience in patents or publications at top-tier peer-reviewed conferences.
• Experience applying theoretical models in an applied environment.

Responsibilities

• Work with domain experts to propose scientific solutions.
• Develop and deploy models for financial processes.
• Collaborate with engineering teams to productionalize research.

Skills

Machine learning

Data mining

Statistical algorithms

Programming in Java, C++, or Python

Algorithms and data structures

Education

PhD or Master's degree in CS, CE, ML or related field

Job description

Overview

Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and GenAI/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. This includes:

• Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights.
• Building AI trust and safety in the financial domain.
• 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.

Specific examples of this work include developing anomaly detection models to identify deviations in payments, building multi-agent systems to perform financial research or onboard new businesses, and fine-tuning LLMs to provide recommendations on next steps.

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 across Amazon.

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. You 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.

• 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 applying theoretical models in an applied environment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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. Applicants should apply via our internal or external career site.