Applied Scientist, Buyer Abuse Prevention ML

Amazon • San Diego, CA

7d

About The Position

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.

Requirements

• 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

Nice To Haves

• Experience using Unix/Linux
• Experience in professional software development

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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree