Principal Applied Scientist, Buyer Risk Prevention

Amazon; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Principal Applied Scientist to lead innovative solutions in Buyer Risk Prevention. This role involves designing and implementing cutting-edge machine learning models, particularly in Reinforcement Learning, to enhance decision-making strategies. The successful candidate will collaborate with engineering and product teams, driving impactful solutions that increase trust in a vast online marketplace. This is an exciting opportunity to influence the safety and integrity of eCommerce transactions while working in a dynamic and collaborative environment.

Qualifications

• PhD in a quantitative field with 8+ years of ML experience.
• Expertise in machine learning technologies and programming.

Responsibilities

• Lead innovation in decision optimization and machine learning models.
• Collaborate with teams to implement solutions impacting business metrics.

Skills

Machine Learning

Reinforcement Learning

Python

SQL

Java

C++

Communication Skills

Education

PhD in Computer Science or related field

Job description

Principal Applied Scientist, Buyer Risk Prevention

Job ID: 2929653 | Amazon.com Services LLC

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:

1. Provide technical leadership, driving innovation and strategic direction for decision optimization.
2. Design, experiment, and implement machine learning models, agents, and software prototypes.
3. Partner with Sr. Leaders across the organization to frame business problems and establish Scientific vision.
4. 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 programming 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 / online companies in fraud / risk control functions.