About The Position

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. 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.

Requirements

  • 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
  • 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

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

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What This Job Offers

Job Type

Full-time

Career Level

Manager

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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