Principal Applied Scientist, Buyer Risk Prevention

Amazon.com, Inc; City of Westminster; On-site; GBP 131,000 - 227,000; Full time

Job summary

A leading global eCommerce company is seeking a Principal Applied Scientist to drive innovation in fraud detection and prevention. This role involves designing and implementing advanced machine learning models to enhance decision-making strategies and improve customer trust. The ideal candidate has a PhD and over 8 years of relevant experience. Competitive salary ranges from $179,000 to $309,400 annually, along with comprehensive benefits.

Benefits

Comprehensive medical benefits

Equity and sign-on payments

Qualifications

• 8+ years of hands-on experience in building machine learning models for business applications.
• Deep expertise in Reinforcement Learning or Machine Learning.
• Knowledge of the latest trends in related areas in Machine Learning.

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 Product and Engineering teams to bring modeling solutions to frontline applications.

Skills

Technical leadership

Decision optimization

Machine learning

Deep learning expertise

Fluency in Python

Excellent communication

Education

PhD in quantitative discipline

Tools

Python

SQL

Java

C++

Job description

Overview

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, especially 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.

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

Qualifications

• Deep expertise in Reinforcement Learning or Machine Learning
• Knowledge of the latest trends in related areas in Machine Learning
• Experience in e-commerce / online companies in fraud / risk control functions

Compensation & Apply

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 This position will remain posted until filled. Applicants should apply via our internal or external career site.