Applied Scientist, Buyer Abuse Prevention ML, Buyer Abuse Prevention Machine Learning team

Amazon • Seattle, WA • 6h ago

Description

Amazon.com's Buyer Risk Prevention's (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for the Buyer Abuse Prevention team, whose mission is to combine advanced analytics with investigator insights to create mechanisms to proactively and reactively reduce the impact of abuse across Amazon.

Key job responsibilities

As an Applied Scientist, you will be responsible for modeling complex problems, discovering insights, and building SOTA risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust.

You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and ML techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner.

The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.

A day in the life

Invent, implement, and deploy state of the art machine learning algorithms and systems

Build proto@types and explore conceptually new solutions

Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams

Take ownership of how ML solutions impact Amazon resources and Customer experience

Develop efficient data querying infrastructure for both offline and online use cases

Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes

Learn and understand a broad range of Amazon's data resources and know when, how, and which to use and which not to use.

Research and implement novel machine learning and statistical approaches

Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations

Please visit https://www.amazon.science for more information

About the team

Our team consists of scientists and analysts as part of the Buyer Abuse Prevention (BAP) Machine Learning (ML) team. We develop, build, and own ML-based solutions for worldwide buyer abuse prevention. We collaborate closely across multiple functions (business, engineering, operations, etc.) to prevent buyers from abusing Amazon policies through various short- and long-term solutions.

Basic Qualifications

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

Experience programming in Java, C++, Python or related language

Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

Experience using Unix/Linux

Experience in professional software development

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 $136,000/year in our lowest geographic market up to $223,400/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.

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