Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast Have you wondered where it came from and how much it cost Amazon to deliver it to you 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 Amazons customers achieving ontime delivery in a costeffective manner.
We 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.
Ideal 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.
This 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.
Responsibilities may include:
Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations
Creating metrics to measure business performance identify root causes and trends and prescribe action plans
Managing multiple projects simultaneously
Working with technology teams and product managers to develop new tools and systems to support the growth of the business
Communicating with and supporting various internal stakeholders and external audiences
3 years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
PhD or Masters degree and 5 years of quantitative field research experience
Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
Experience communicating qualitative research methods and findings to nonqualitative researchers
Experience converting research studies into tangible realworld changes
Experience with discrete and continuous optimization methodologies and algorithms
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