Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon maintain the integrity of its product catalog and elevate Amazon Selling Partners to be the most successful by preventing abuse? Are you excited by the prospect of creating state-of-the-art algorithms to solve real world problems in catalog management? Do you like to own end-to-end business problems/metrics and directly impact the quality and trustworthiness of Amazon's product listings? Do you enjoy collaborating in a diverse team environment?
If yes, then you may be a great fit to join the Amazon Catalog Abuse Detection and Prevention Team. We are looking for a talented scientist who is passionate about building advanced machine learning systems that help detect and prevent catalog abuse across millions of product listings every day and scale up our operation with automation.
Key job responsibilities
A day in the life
You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation.
You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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