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Amazon Corporate LLC Applied Scientist in Seattle, Washington

Are you excited about customer-facing research and reinventing the way people think about long-held assumptions? At Amazon, we are constantly inventing and re-inventing to be the most customer-centric company in the world. To get there, we need exceptionally talented, bright, and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers.The F3 (Fresh, Food, Fast) organization leads the innovation of Amazon's ultra-fast grocery product initiatives. Our key vision is to transform the online grocery experience and provide a wide grocery selection in order to be the primary destination to fulfill customer's food shopping needs. The F3 Supply Chain team builds and operates world class grocery supply chain systems and infrastructure to deliver growth for the business globally. We're growing in scale and volume, by orders of magnitude. We are a team of passionate tech builders who work endlessly to make life better for our customers through amazing, thoughtful, and creative new grocery shopping experiences. To succeed, we need senior technical leaders to forge a path into the future by building innovative, maintainable, and scalable systems.The ideal candidate will be responsible for quantitative data analysis, building models and prototypes for supply chain systems, and developing state-of-the-art optimization algorithms to scale. This team plays a significant role in various stages of the innovation pipeline from identifying business needs, developing new algorithms, prototyping/simulation, to implementation by working closely with colleagues in engineering, product management, operations, retail and finance.As a member of the research team, you will play an integral part on our Supply Chain team with the following technical and leadership responsibilities:* Interact with engineering, operations, science and business teams to develop an understanding and domain knowledge of processes, system structures, and business requirements* Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization* Develop scalable mathematical models to derive optimal or near-optimal solutions to existing and new supply chain challenges* Create prototypes and simulations to test devised solutions* Advocate technical solutions to business stakeholders, engineering teams, as well as executive-level decision makers* Work closely with engineers to integrate prototypes into production system* Create policy evaluation methods to track the actual performance of devised solutions in production systems, identify areas with potential for improvement and work with internal teams to improve the solution with new features* Mentor team members for their career development and growth* Present business cases and document models, analyses, and their results in order to influence important decisions* Ph.D. in Operations Research, Operations Management, Engineering, Computer Science, Applied Mathematics, or a related quantitative field* 5+ years of relevant industrial research experience in supply chain management, inventory management, operations management, simulation or a closely related field* Fluency in data analysis languages (e.g., R, Python, SAS, etc.) or other statistical software* Hands-on experience in building end-to-end mathematical models and prototyping* Experience building, iterating, and validating predictive data models from scratchAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals wit

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