Applied Scientist, FinAuto - Payroll Tech @ Amazon

You will leverage your expertise in machine learning, data science, and applied research to develop innovative solutions that drive operational efficiency, enhance compliance, and improve controllership across our Global Payroll Operations. * Conduct in-depth analysis of payroll data and processes to identify opportunities for ML/AI-driven automation and optimization
* Design, develop, and deploy scalable ML models and algorithms to automate payroll compliance checks, anomaly detection, and reporting
* Collaborate cross-functionally with payroll, finance, and technology teams to understand business requirements and translate them into effective AI/ML solutions
* Continuously monitor model performance, gather feedback, and iterate to improve the accuracy and reliability of your solutions
* Document your work, share learnings, and present your findings to technical and non-technical stakeholders
* Stay up-to-date with the latest advancements in machine learning and apply innovative techniques to drive continuous improvement - Masters degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience building machine learning models or developing algorithms for business application
- Experience programming in Java, C++, Python or related language - Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals