Full job description DESCRIPTION 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. A day in the life 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 senior 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 About the team Our 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. 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. BASIC QUALIFICATIONS 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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.