Ml Data associate II, ABDAI

Over the past 25 years Amazon has reinvented on behalf of customers and has become the largest internet retailer and marketplace in the world. Amazon is now reinventing on behalf of the business customer and focused on building the most innovative Business-to-Business (B2B) marketplace in the world and we are recruiting to make this vision a reality.

The Amazon Business organization is focused on building solutions to enable B2B customers to research discover and buy business industrial and scientific products in large catalogs; across multiple devices marketplaces and regions. Our customers have different needs than the traditional Amazon consumer customer base. Amazon Business (AB) reseller team focuses on the investigations with researches on AB customers on various parameters and evaluates facts related to buyer and/or seller to unblock the legit customer to on large quantity purchases.

Key job responsibilities
This role would need you to 1) Handle the day-to-day assigned tasks and ensure they meet quality standards 2) Maintain records of day-to-day work by updating trackers to reflect work done 3) Use tools to create and manage classification 4) Actively troubleshoot and respond to issues that are caused by incorrect classification

About the team
Amazon Business Data Analytics and Insights (ABDAI) has two missions; (1) provide accurate and reliable data and data products for continued success of our business and (2) predict and value customer actions for our business partners to be right a lot when taking decision

A day in the life
This role requires strong attention to detail solid work ethic and drive the ability to manage large and complex rule sets the ability to recommend solutions to various problems and excellent communication skills and follow up. Bachelor Degree or equivalent; Decision making aptitudes based on given guidelines and in ambiguous context. Self-motivated with critical attention to detail deadlines and reporting; Proficiency in Microsoft Excel and Word Demonstrated collaborative skills and ability to work well within a team including adherence to core values and dynamic corporate culture Ability to work under a dynamic work environment and meet performance goals.

- Experience in natural language data labeling data annotation linguistic annotation or other forms of data markup

- Bachelors degree or equivalent

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