Sr. Research Scientist, Last Mile Science

If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon's customers, achieving on-time delivery in a cost-effective manner.\n\nWe are looking for an enthusiastic, customer obsessed, Sr. Applied Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools.

The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon.\n\nIdeal candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space.

Great candidates have a history of operations research, and the ability to use data and research to make changes.\n\nThis role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.\n\nResponsibilities may include:\n- Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations\n- Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans\n- Managing multiple projects simultaneously\n- Working with technology teams and product managers to develop new tools and systems to support the growth of the business\n- Communicating with and supporting various internal stakeholders and external audiences\nBASIC QUALIFICATIONS:\n- 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience\n- PhD, or Master's degree and 5+ years of quantitative field research experience\n- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.\n- Experience communicating qualitative research methods and findings to non-qualitative researchers\nPREFERRED QUALIFICATIONS:\n- Experience converting research studies into tangible real-world changes\n- Experience with discrete and continuous optimization methodologies and algorithms\n\nOur 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.

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