Within Amazon, the Selling Partner Risk team launches products and services that detect and prevent abuse on our store before it impacts a customer. We work with business partners across the organization to find and close gaps that lead to abuse and create and enforce selling policies that help ensure we have a fair marketplace. Our product and program managers work hand in hand with our engineering and science partners to develop and implement innovative solutions that help sellers become successful and stop bad actors at scale, globally.

We are seeking a candidate who loves solving complex problems, is passionate about stopping bad actors and protecting customers. They should have strong analytical skills and be comfortable collaborating with ML scientists to analyze model performance and results. The ideal candidate will regularly conduct deep-dive analyses to understand ML model behavior, validate the effectiveness of risk signals, and propose data-driven enhancements to our detection systems. They should have a proven track record of being able to successfully identify a solution, prepare a plan and execute it with good results.

Key job responsibilities
We are seeking a Business Analyst to drive analysis and insights that support meaningful business decisions. As a Business Analyst, you will work closely with ML scientists to analyze data, investigate model performance, and help solve real-world problems in identifying suspicious behavior. You'll collaborate daily with our science team to validate detection effectiveness and identify opportunities for model improvements. We are focused on your success and want to build future leaders within Amazon.

A key component of the role is partnering with our scientists to investigate specific seller cases, analyze risk patterns, and evaluate new signals that could enhance our detection capabilities. You will dive deep into data to understand model behavior, validate hypotheses, and provide analytical insights that inform model development and refinement. Working alongside scientists, risk managers and program managers, you'll help identify gaps in our detection systems and propose data-driven solutions.

You will enable effective decision making by conducting thorough analyses of complex cases and presenting findings in a clear, actionable format. This includes retrieving and analyzing data from multiple sources to validate model performance and investigate edge cases. Your insights will directly contribute to improving how we protect our marketplace and customers.