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Description

We are seeking an exceptional Sr. Manager, Applied Science - Global Selling Partner Risk Intelligence and Prevention, to lead the development and implementation of advanced AI solutions that will transform how we prevent bad actors from operating in our store and enable Selling Partners to start and grow their business without fear of disruption, so that customers and Selling Partners across the globe trust us and have confidence in the integrity of Amazon’s store.

This role will focus on leveraging large language models and other generative AI technologies to enhance decision-making processes, automate complex risk assessment tasks, and improve operational efficiency in selling partner risk management.

Key job responsibilities

• Set up the vision, mission and a 3-year science plan for the selling partner risk management

• Lead and manage a team of scientists, business intelligence engineers, business analysts, TPMs, to build foundational and domain-specific solutions that prevent bad actors from operating in our store

• Identify and prioritize high-impact opportunities for AI-driven transformation to make Amazon the most trusted store for our customers and selling partners

• Mentor and guide team members to achieve their career goals and objectives

About the team

Trust and Store Integrity Science is a new org established in 2024. We are missioned to leverage the fast evolving AI advancements to transform how we prevent bad actors in our stores, across science, engineering, product and program management, and operations.

Basic Qualifications

- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

Preferred Qualifications

- 10+ years of practical work applying ML to solve complex problems for large-scale applications experience

- 5+ years of hands-on work in big data, machine learning and predictive modeling experience

- 5+ years of people management experience

- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)

- Experience in practical work applying ML to solve complex problems for large scale applications

- Experience working with big data, machine learning and predictive modeling

- Experience in people management

- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.

- Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language

- Experience researching actual applications

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

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.