Manager, ML Science, Buyer Risk Prevention Seattle, WA

Manager, ML Science, Buyer Risk Prevention job at Amazon Stores. Seattle, WA. Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of eCommerce transactions across the globe?

Our mission in Buyer Risk Prevention (BRP) is to make Amazon the safest place to transact online. BRP designs and builds systems, risk models and operational processes that minimize risk and maximize trust in Amazon. The Science manager will lead a growing team of Scientists, tasked with preventing ecommerce fraud with developing the best-in-class science solutions. We are looking for a strong technical leader to help develop advanced scientific solutions and drive critical customer, partner, and business impact.

You will collaborate closely with engineering peers as well as business stakeholders to drive end-to-end business problems/metrics and directly impact the profitability of the company.

• Understand various businesses/operations across BRP
• Hire, Grow, and Develop excellent talent.
• Partner with Leaders across the organization to frame business problems, establish Scientific vision, and execute roadmap. Partner with Product and Engineering teams to bring modeling solutions to frontline applications across the business.
• Set the scientific culture and leadership within the team, advocating for Science at leadership level
• Be able to translate and communicate out Science driven results
• Identify new opportunities to leverage Science within the organization

• PhD degree with 4 years of applied research experience or a Master’s degree and 6+ years of experience of applied research experience.
• Extensive experience applying ML to solve complex problems for large-scale applications
• Extensive people management experience, managing science teams.
• Excellent communication (verbal and written) and collaboration skills that enable you to earn trust at all levels.
• Skilled with Java, Python, or other programming language

• A PhD in CS, Machine Learning, Statistics, Operations Research or relevant field.
• Strong Machine Learning breadth and depth

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 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 $165,500/year in our lowest geographic market up to $286,000/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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.