Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions
Our team faces a unique challenge: developing intelligent systems to process analyze and derive insights from massive financial datasets generated across Amazons global operations. This includes millions of customer transactions vendor payments inventory movements commission calculations and tax collections across hundreds of jurisdictions worldwide.
As an Applied Scientist you will:
Design and implement novel machine learning solutions for complex financial problems
Work with largescale distributed systems and realtime data processing
Develop automated decisionmaking systems for financial workflows
Create scalable algorithms that balance accuracy latency and computational efficiency
Collaborate with software engineers to productionize ML models
The ideal candidate will have:
Experience in machine learning statistical modeling and data analysis
Experience with largescale distributed systems and cloud computing
Proven track record of solving complex analytical problems
Excellence in scientific programming (Python R or similar)
communication skills to collaborate with crossfunctional teams
Passion for mentoring and technical leadership
Youll join a team that values innovation and scientific rigor working alongside worldclass engineers and scientists. Youll have the opportunity to influence the architecture of nextgeneration financial systems while solving novel problems in machine learning and automated decisionmaking.
Key job responsibilities
The ideal candidate will have:
Experience in machine learning statistical modeling and data analysis
Experience with largescale distributed systems and cloud computing
Proven track record of solving complex analytical problems
Excellence in scientific programming (Python R or similar)
Communication skills to collaborate with crossfunctional teams
Passion for mentoring and technical leadership
About the team
The Disputes management team manages systems handling vendor billing disputes across Amazons global operations. These disputes arise from invoice matching discrepancies resulting in short payments due to quantity and price variances as well as receivables from vendor returns and other deductions.
The Dispute Management System enables dispute creation through multiple channels (Vendor Central FinOps Central) provides automated research and recommendations and facilitates communication between vendors and FinOps analysts.
Our platform streamlines the entire dispute lifecycle from initial filing through final resolution ensuring accurate handling of financial claims while maintaining strong vendor relationships.
PhD or Masters degree and 5 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms
Experience in professional software development
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
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.