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Description

Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?

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 Principal Applied Scientist will lead research, design and implementation of state-of-the-art solutions, specially Reinforcement learning, that optimize and simplify our decision making strategy. 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.

Key job responsibilities

Provide technical leadership, driving innovation and strategic direction for decision optimization

Design, experiment and implement machine learning models, agents and software prototypes

Partner with Sr. Leaders across the organization to frame business problems and establish Scientific vision

Partner with Product and Engineering teams to bring modeling solutions to frontline applications across the business.

Basic Qualifications

PhD Degree in any quantitative discipline such as Computer Science, Machine Learning, Statistics, Mathematics, Operational Research

8+ years of hands on experience in building machine learning models for business application

Depth and breadth in state-of-the-art machine learning technologies

Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programing languages.

Excellent communication (verbal and written) and collaboration skills that enable you to earn trust at all levels.

Preferred Qualifications

Deep expertise in Reinforcement Learning or Machine Learning

Knowledge of the latest trends in related areas in Machine Learning

Experience in e-commerce / on-line companies in fraud / risk control functions

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 $179,000/year in our lowest geographic market up to $309,400/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.