Principal Applied Scientist, Amazon Business

Amazon; Asti; In loco; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

A leading e-commerce company located in Piemonte, Asti is seeking a Principal Applied Scientist for the External System Integration team. This role involves applying AI to enhance procurement solutions for enterprises. Candidates should have a PhD, 5+ years of predictive modeling experience, and strong programming skills. The position emphasizes leadership and influencing strategies within the organization while driving impactful research.

Competenze

• 5+ years of hands-on experience in predictive modeling and analysis.
• Experience working in predictive modeling and analysis.
• Strong programming skills in relevant languages.

Mansioni

• Define key research directions adopting state-of-the-art technology.
• Perform rigorous experiments to convert ideas into business impact.
• Develop long-term strategies and influence teams.

Conoscenze

Predictive modeling

Programming in Java

Programming in C++

Programming in Python

Leadership and mentorship

Formazione

PhD in Electrical Engineering, Computer Science, Mathematics, or related field

Descrizione del lavoro

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. This is an exciting opportunity to establish AI leadership in B2B procurement working on problems at scale that do not exist anywhere else in the industry.

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.

Key job responsibilities

• 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
• Develop long-term strategies, influence teams to adopt those strategies, and jointly design and deliver on goals
• Participate in organizational planning, hiring, mentorship and leadership development
• Acquire domain expertise and in-depth understanding of related engineering systems
• Contribute through patenting and publishing

Basic Qualifications

• 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 distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• 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

Preferred Qualifications

• 10+ years of relevant work in industry or academia experience
• Knowledge of problem solving, algorithm design and complexity analysis
• Experience creating novel algorithms and advancing the state of the art
• Have peer‑reviewed scientific contributions in premier journals and conferences

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.