Enterprise Engineering is seeking an exceptional Senior Applied Scientist to join our AppSense team, which is revolutionizing Software Asset Management at Amazon and beyond. As a key member of our applied science team, you will leverage cutting-edge machine learning, natural language processing, and data analytics techniques to solve complex challenges in software discovery, cost optimization, and intelligent decision-making. Your work will directly impact Amazon's ability to manage its vast software portfolio efficiently, driving significant cost savings and operational improvements.
In this role, you will have the opportunity to invent and implement novel scientific approaches that address critical business problems at the product level. You will collaborate closely with product managers, engineers, and business stakeholders to translate scientific innovations into practical, scalable solutions that enhance AppSense's capabilities and deliver value to our customers.
Key job responsibilities
* Lead the design, implementation, and delivery of scientifically complex solutions for AppSense, focusing on areas such as automated software discovery, intelligent cost optimization, and predictive analytics
* Develop and apply state-of-the-art machine learning models to improve software categorization, usage prediction, and anomaly detection
* Create innovative natural language processing solutions for contract analysis, optimization, and automated report generation
* Design and implement advanced recommendation systems for software stack optimization based on job roles and team compositions
* Develop reinforcement learning algorithms for automated license management, including predictive maintenance to prevent unexpected expirations or overage charges
* Develop AI-driven negotiation assistants and collaborative budgeting tools with ML-powered spend forecasting
* Create sentiment analysis models to gauge software satisfaction from user feedback and support tickets
About the team
The AppSense team is at the forefront of transforming software asset management at Amazon. We're building a comprehensive platform that provides visibility, control, and optimization for Amazon's vast software portfolio. Our mission is to leverage cutting-edge technology to help businesses discover, manage, and optimize their software assets, driving significant cost savings and operational efficiencies.
As part of the applied science team within AppSense, you'll work alongside talented scientists, engineers, and product managers who are passionate about solving complex problems at scale. We foster a culture of innovation, encouraging team members to push the boundaries of what's possible in software asset management. Your contributions will directly impact Amazon's bottom line and have the potential to shape the future of how organizations manage their software ecosystems.
In this role, you will have the opportunity to invent and implement novel scientific approaches that address critical business problems at the product level. You will collaborate closely with product managers, engineers, and business stakeholders to translate scientific innovations into practical, scalable solutions that enhance AppSense's capabilities and deliver value to our customers.
Key job responsibilities
* Lead the design, implementation, and delivery of scientifically complex solutions for AppSense, focusing on areas such as automated software discovery, intelligent cost optimization, and predictive analytics
* Develop and apply state-of-the-art machine learning models to improve software categorization, usage prediction, and anomaly detection
* Create innovative natural language processing solutions for contract analysis, optimization, and automated report generation
* Design and implement advanced recommendation systems for software stack optimization based on job roles and team compositions
* Develop reinforcement learning algorithms for automated license management, including predictive maintenance to prevent unexpected expirations or overage charges
* Develop AI-driven negotiation assistants and collaborative budgeting tools with ML-powered spend forecasting
* Create sentiment analysis models to gauge software satisfaction from user feedback and support tickets
About the team
The AppSense team is at the forefront of transforming software asset management at Amazon. We're building a comprehensive platform that provides visibility, control, and optimization for Amazon's vast software portfolio. Our mission is to leverage cutting-edge technology to help businesses discover, manage, and optimize their software assets, driving significant cost savings and operational efficiencies.
As part of the applied science team within AppSense, you'll work alongside talented scientists, engineers, and product managers who are passionate about solving complex problems at scale. We foster a culture of innovation, encouraging team members to push the boundaries of what's possible in software asset management. Your contributions will directly impact Amazon's bottom line and have the potential to shape the future of how organizations manage their software ecosystems.