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As we make every effort to be Earth's most customer-centric company, Amazon has transformed how numerous millions of people store online offering consumers with the opportunity to find and find virtually anything they wish to buy and offering millions of Sellers with a platform for growing effective businesses. Countless Amazon Sellers deliver their orders straight from their own warehouse and we are building software application to help them use their items through programs like Seller Fulfilled Prime, Satisfaction by Amazon Onsite, Merchant Fulfilled Very Same Day Delivery, and Premium.

mm, PROS is trying to find an Applied Researcher, to be based in Seattle/Bellevue area, to support Seller Satisfaction Providers. As an Applied Scientist focusing on research study for Seller Satisfaction Solutions, you will play a key function in Amazon's and logistics strategic planning and operations. You will build systems and tools that help us to provide our consumers with the biggest selection of merchants at the least expensive, and the most dependable delivery service despite the seller.

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You will be working in an extremely collaborative environment partnering with various science, product management, engineering, operations, finance, service intelligence and analytics teams to establish ML designs and analytical tools. You will need to comprehend the business requirements and translate them into complex analytical outputs. More Details will create tests to describe efficiency of the models from impact on customer and cost perspective.

You need to be comfortable structure models, screening and enhancing them offered the feedback from the actual time data. You ought to have the ability to provide your design and findings to a different range of stakeholders. A perfect candidate will be a professional in the areas of, and statistics, with knowledge in using theoretical models in an applied environment.

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Challenges will involve dealing with really large information sets and requirements on throughput. Obligations consist of: Creating, implementing, testing, deploying, and maintain innovative designs and information and solutions to accelerate our business. Creating experiments and model executions of brand-new algorithms and prediction strategies Teaming up with researchers, engineers, item supervisors, and stockholders to create and implement software application solutions for science issues Use finest practices to guarantee a high standard of quality for all of the team deliverables, Amazon is an Equal Opportunity-Affirmative Action Employer Minority/ Female/ Special Needs/ Veteran/ Gender Identity/ Sexual Orientation/ Age.