AWS is the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. Our team of scientists have developed the algorithms and models that power AWS computer vision services such as Amazon Rekognition and Amazon Textract. The AWS AI Labs team has a world-leading team of researchers and academics, and we are looking for world-class colleagues to join us and make the AI revolution happen.
This role is inherently cross-functional and requires an ability to communicate, influence and earn the trust of science, technical, operations and business leadership. You will identify new areas of investment and research and work to align roadmaps to deliver on these opportunities. As a science leader, you will not only develop optimization solutions, but also influence strategy and outcomes across multiple partner science teams such as forecasting, transportation network design, or modelling teams. You will partner with operations, finance, store, science and engineering leadership to identify opportunities to drive efficiency improvement in our Fulfillment Center network flows via optimization and scalable execution. Science Manager, you will lead and grow a high-performing team of data and research scientists, technical program managers and business intelligence engineers. The ideal candidate has a well-rounded-technical/science background as well as a history of leading large projects end-to-end, and is comfortable in developing long term research strategy while ensuring the delivery of incremental results in an ever-changing operational environment.
We work closely with Supply Chain Optimization Technology (SCOT) teams, who own the systems and the inputs we rely on to plan our networks, the worldwide scientific community, and with our internal EU stakeholders within Supply Chain, Transportation, Store and Finance.
We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Statistics, Econometrics, Operations Research and Machine Learning models to improve decision making within our organization, including forecasting, planning and executing our network. The team owns the optimization of our Supply Chain from our suppliers to our customers. The EU SC Science Optimization team is looking for a Science leader to tackle complex and ambiguous forecasting and optimization problems for our EU fulfillment network. The sheer growth of the business and the company's mission "to be Earth’s most customer-centric company” makes the customer fulfillment business bigger and more complex with each passing year. Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The role can be based in any of our EU offices. Amazon Redshift was designed to bring data warehousing to a mass market by making it easy to buy, easy to tune and easy to manage while also being fast and cost-effective. And, we believe the models used to procure and consume analytics technology need to support experimentation and evaluation. We believe, while most database vendors target larger enterprises, there is little correlation in today’s economy between data set size and company size.
We believe the vast majority of data is collected but not analyzed. Our goal with Amazon Redshift was not to compete with other data warehousing engines, but to compete with non-consumption. In this paper, we discuss an oft-overlooked differentiating characteristic of Amazon Redshift – simplicity. And, while Amazon Redshift is available in the AWS cloud, one can build data warehouses using EC2 instances and the database engine of one’s choice with either local or networkattached storage. While Amazon Redshift provides a modern MPP, columnar, scale-out architecture, so too do many other data warehousing engines.
Amazon redshift data warehousing free#
While Amazon Redshift was priced disruptively at launch, available for as little as $1000/TB/year, there are many open-source data warehousing technologies and many commercial data warehousing engines that provide free editions for development or under some usage limit. Since launching in February 2013, it has been Amazon Web Service’s (AWS) fastest growing service, with many thousands of customers and many petabytes of data under management.Īmazon Redshift’s pace of adoption has been a surprise to many participants in the data warehousing community. Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse solution that makes it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.
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