Description

Ready to Transform Amazon's Procurement Systems?

Are you passionate about building scalable solutions that impact how Amazonians get their work done? Join us in revolutionizing Amazon's procurement technology landscape through advanced analytics and machine learning.

We're seeking a talented Data Scientist to help build the next generation of procurement applications from the ground up. This is your opportunity to work on high-impact systems that combine advanced search capabilities, AI-powered assistance.

About This Role

As a Data Scientist in the Global Corporate Procurement (GCP) Tech team, you'll be instrumental in building modern, AI/ML-powered applications that transform Amazon's procurement systems. You'll work on a greenfield initiative to create innovative solutions leveraging machine learning, natural language processing, and predictive analytics that make procurement faster, smarter, and more intuitive for Amazonians worldwide.

This role offers the unique opportunity to develop data-driven systems leveraging AI/ML services, modern statistical modeling techniques, and generative AI capabilities. You'll collaborate with experienced data scientists, engineers, and cross-functional partners to deliver solutions that will eventually serve Amazon's global workforce.

What You'll Do

You'll design, develop, and deploy scalable machine learning models and data pipelines that power Amazon's procurement ecosystem. Working in an agile environment, you'll take ownership of analytical solutions from conception through production deployment, contributing to technical decisions alongside experienced data scientists and engineers.

Your work will directly impact the daily experience of Amazonians as they procure goods and services. Through collaboration with product managers, UX designers, and fellow data scientists, you'll translate complex business requirements into elegant data-driven solutions using advanced analytics, NLP, and AI/ML techniques.

Key job responsibilities
* Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making
* Identify predictors and causes of business-related problems and implement novel approaches related to forecasting and prediction
* Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations
* Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity
* Analyze and solve business problems at their root