Scientist, Buyer Abuse Prevention ML

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 team, whose mission is to combine advanced analytics

with investigator insight 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 cutting edge 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.

Responsibilities:

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

Build prototypes 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

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 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company?s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.