DESCRIPTION

You have super powers. Use them for good. We protect customers of the Amazon marketplace from poor buying experiences. We catch bad guys and stop online fraud. We do all this while imposing minimal to no friction on good sellers. It’s fun. It’s hard. It matters. We need you.
It’s fun. We stop poor buying experiences and crimes before they happen. Remember the "Minority Report"? It’s just like that. Basically, we predict the future by developing and applying cutting-edge machine learning algorithms to detect, predict, and prevent bad outcomes before they happen. We operate across the entire lifecycle of marketplace sellers. Our problem space offers potential to work on the gamut of machine learning problems, supervised and unsupervised, classification and regression with structured and unstructured data.

It’s hard. Identifying bad actors and malicious behavior patterns is a classic adversarial machine learning problem. Patterns of attacks are ever evolving. Poor customer experience patterns and their impact need to be teased out and studied from the mountains of structured and unstructured data. It is insufficient to rely on modeling and analysis alone. There is no one right way to do things. We need to consider the broader business context, and leverage human intelligence-in-the-loop processes, software features and marketplace policies as appropriate. We are limited only by our creativity.

It matters. Amazon is one of the world’s most trusted companies. Consider the implications of losing that trust. Third-party sellers account for nearly half the items purchased on Amazon. This nearly always goes smoothly; but when buyers have a less than perfect experience, everyone loses. Buyers are less likely to shop at Amazon in the future. Legitimate sellers lose potential sales and are less likely to sell on Amazon. And of course, the money Amazon pays in refunds and claims goes straight to our bottom line and ultimately results in higher prices for all our customers.

If you have an entrepreneurial spirit, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.

As a Business Intelligence Engineer on our team, you will:
· Apply machine learning and statistical techniques and perform analysis to create scalable solutions for business problems
· Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
· Design, development and evaluation of highly innovative models for predictive learning
· Measure your modeling impacts using a large-scale A/B experimental platform
· Work closely with software engineering teams to drive real-time model implementations and new feature creations
· Work closely with operations staff to optimize various business operations,
· Track general business activity and provide clear, compelling management reporting on a regular basis
· Communicate, persuade and influence senior management

BASIC QUALIFICATIONS

• B.S. degree in mathematics, statistics, computer science or a similar quantitative field
• 3+ years work experience in relevant field
• Experience in using SQL to analyze data in a database or data warehouse and be able to use a major programming (e.g. Java/C) and/or a scripting language (Perl, Unix shell) to process data for modeling
• Experience working with a wide range of predictive and decision models and data mining techniques, as well as tools for developing such models

PREFERRED QUALIFICATIONS

• Candidates with a Master’s degree or higher with additional experience are preferred.