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As we make every effort to be Earth's a lot of customer-centric business, Amazon has actually reinvented how hundreds of countless people store online offering clients with the opportunity to find and find virtually anything they want to buy and offering millions of Sellers with a platform for growing successful services. Countless Amazon Sellers deliver their orders straight from their own storage facility and we are developing software to help them provide their products through programs like Seller Fulfilled Prime, Satisfaction by Amazon Onsite, Merchant Fulfilled Very Same Day Shipment, and Premium.
mm, PROS is trying to find an Applied Scientist, to be based in Seattle/Bellevue location, to support Seller Fulfillment Solutions. As an Applied Scientist concentrating on research for Seller Satisfaction Solutions, you will play a key role in Amazon's and logistics strategic preparation and operations. You will develop systems and tools that help us to supply our clients with the biggest selection of merchants at the most affordable, and the most trustworthy delivery service despite the seller.
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You will be operating in an extremely collaborative environment partnering with different science, product management, engineering, operations, financing, service intelligence and analytics teams to establish ML designs and analytical tools. More Details will require to comprehend business requirements and translate them into complex analytical outputs. You will design tests to explain performance of the designs from influence on client and cost perspective.
You should be comfy structure models, screening and enhancing them given the feedback from the genuine time information. You should have the ability to present your design and findings to a numerous series of stakeholders. A perfect prospect will be an expert in the locations of, and data, with competence in using theoretical designs in an applied environment.
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Difficulties will involve dealing with huge data sets and requirements on throughput. Duties include: Designing, carrying out, screening, releasing, and preserve innovative models and data and services to accelerate our company. Creating experiments and model applications of new algorithms and forecast methods Teaming up with researchers, engineers, item supervisors, and stockholders to create and execute software services for science problems Use finest practices to ensure a high requirement of quality for all of the group deliverables, Amazon is an Equal Opportunity-Affirmative Action Employer Minority/ Female/ Special Needs/ Veteran/ Gender Identity/ Sexual Preference/ Age.
