Scientist
4 settimane fa
Principal Applied Scientist, Amazon Business
The External System Integration (ESI) team enables Amazon Business to be the preferred procurement solution for enterprises through seamless integrations with external procurement systems. ESI team's charter focuses on allowing businesses of all sizes to integrate Amazon Business with their existing infrastructure (procurement, website, mobile applications, automated systems, etc).
As the ESI team's Principal Applied Scientist, you'll be at the forefront of applying AI to solve real-world business problems that directly impact Amazon's fastest-growing segment. In this role you'll have the unique opportunity to build AI systems that serve millions of business customers. This role combines the intellectual challenge of novel AI research with immediate business impact. Principal Applied Scientist's at Amazon are trusted technical leaders who tackle intrinsically complex scientific problems by leveraging experience and expertise with machine learning algorithms. They innovate and set the standard for scientific excellence, make decisions that affect how algorithms are built and integrated, scrutinize experimental design, modeling choices and implementation strategy to ensure sustainability and generalizability, align teams toward coherent strategies, guide peers toward adopting latest scientific trends, force multiply by decomposing a hard problem into pieces and executing through collaboration, solicit different views across the organization, and influence leaders by converting ideas into business impact. They are capable of working with a diverse set of stakeholders and influencing leaders by converting ideas into business impact.
Define key research directions by adopting state-of-the-art technology and innovating new solutions
Perform rigorous experiments to convert ideas into actual business impact
Participate in organizational planning, hiring, mentorship and leadership development
5+ years of hands‑on work in predictive modeling and analysis experience
~ PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
~ Experience working in predictive modeling and analysis
~ Experience programming in Java, C++, Python or related language
~ Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
Knowledge of problem solving, algorithm design and complexity analysis
~ Have peer‑reviewed scientific contributions in premier journals and conferences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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