{"id":433,"date":"2015-06-14T23:36:10","date_gmt":"2015-06-15T03:36:10","guid":{"rendered":"http:\/\/agiltools.com\/blogsp\/?p=433"},"modified":"2015-07-07T11:39:56","modified_gmt":"2015-07-07T17:39:56","slug":"amazon-scot","status":"publish","type":"post","link":"https:\/\/agiltools.com\/blogsp\/amazon-scot\/","title":{"rendered":"Amazon is hiring - SCOT"},"content":{"rendered":"<div id=\"dslc-theme-content\"><div id=\"dslc-theme-content-inner\"><p>El gigante del retail y servicios por internet <a href=\"http:\/\/www.amazon.com\/\" target=\"_blank\">Amazon<\/a>\u00a0tiene una divisi\u00f3n que merece mucha atenci\u00f3n por su exitoso trabajo en Analytics conocida como <a href=\"http:\/\/www.abbreviations.com\/term\/161169\" target=\"_blank\">SCOT<\/a> por sus siglas en ingl\u00e9s <strong>Supply Chain Optimization Technologies<\/strong>. Este departamento es responsable entre otras de analizar todo el big data resultante de\u00a0la navegaci\u00f3n, las b\u00fasquedas y hasta los perfiles de los usuarios encriptados en los <a href=\"http:\/\/www.allaboutcookies.org\/es\/\" target=\"_blank\">cookies<\/a>\u00a0de los navegadores. Como resultado, es posible predecir con un alto\u00a0grado de acierto cual ser\u00e1 la siguiente compra o sugerir los productos que\u00a0mejor complementan la compra. Tambi\u00e9n es posible determinar las tendencias del mercado en cuanto a la estacionalidad, el tipo de producto y hasta la geograf\u00eda.<\/p>\n<p>Multiples t\u00e9cnicas son combinadas en este deficil trabajo, tales como la investigaci\u00f3n de operaciones, la simulaci\u00f3n, la estad\u00edstica, la miner\u00eda de datos y las series de tiempos. Todo esto es lo que se conoce como <strong>Analytics<\/strong>.<\/p>\n<p>Lo invito a ver el siguiente video, es una breve y animada explicaci\u00f3n de lo que se hace en SCOT, invitando a profesionales en todo el mundo a aplicar.<\/p>\n<p><iframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/ncwsr1Of6Cw\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<h5>Actualizaci\u00f3n (Julio 7 2015)<\/h5>\n<p>Este correo me lleg\u00f3 esta semana sobre el mismo tema (IPC est un departamento diferente, sin embargo basa mucho de su trabajo en los desarrollos de SCOT):<\/p>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td width=\"85\"><\/td>\n<td>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td>Jul 5, 2015 1:11 PM<\/td>\n<\/tr>\n<tr>\n<td><a href=\"http:\/\/connect.informs.org\/network\/members\/profile\/?UserKey=fc00ca45-f807-4860-876d-990a85c1a6d5\">Wooseung Jang<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<table width=\"100%\">\n<tbody>\n<tr>\n<td>Inventory Planning and Control (IPC) at Amazon is seeking experienced operations research scientists. IPC owns Amazon's global inventory planning systems - we decide and optimize what, when, where, and how much we should buy to meet Amazon's business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are on the cutting edge in automated large scale supply chain planning, optimization and simulation systems. IPC is unique in that we are simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, research scientists\/statisticians\/economists and software engineers in the business.Candidates will be responsible for developing solutions to better manage\/optimize worldwide inventory. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on the next generation of Amazon's inventory optimization systems. They require superior analytical thinkers who are able to quickly approach large ambiguous problems and apply their technical and statistical knowledge to identify opportunities for further research. Candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs.Qualifications:<\/p>\n<p>- PhD in operations research or industrial engineering with related work experience in industry or academia. We are particularly interested in senior researchers, who will relocate to Seattle, WA.<\/p>\n<p>- Able to build quantitative mathematical models to represent a wide range of supply chain, transportation and logistics systems.<\/p>\n<p>- Able to implement these models and tools through the use of modeling languages and engineering codes in software languages.<\/p>\n<p>- Able to perform quantitative, economic, and numerical analysis of the performance of these systems under uncertainty using statistical and optimization tools to find both exact and heuristic solution strategies for optimization problems.<\/p>\n<p>If you are interested in, please contact or send resumes to <a href=\"mailto:woosung@amazon.com\">woosung@amazon.com<\/a><br \/>\n------------------------------<br \/>\nWooseung Jang<br \/>\nSr. Principal Research Scientist<br \/>\nAmazon.com<br \/>\n------------------------------<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div class=\"sharedaddy sd-sharing-enabled\"><div class=\"robots-nocontent sd-block sd-social sd-social-icon-text sd-sharing\"><div class=\"sd-content\"><ul><li class=\"share-twitter\"><a rel=\"nofollow noopener noreferrer\" data-shared=\"sharing-twitter-433\" class=\"share-twitter sd-button share-icon\" href=\"https:\/\/agiltools.com\/blogsp\/amazon-scot\/?share=twitter\" target=\"_blank\" title=\"Click to share on Twitter\"><span>Twitter<\/span><\/a><\/li><li class=\"share-facebook\"><a rel=\"nofollow noopener noreferrer\" data-shared=\"sharing-facebook-433\" class=\"share-facebook sd-button share-icon\" href=\"https:\/\/agiltools.com\/blogsp\/amazon-scot\/?share=facebook\" target=\"_blank\" title=\"Click to share on Facebook\"><span>Facebook<\/span><\/a><\/li><li class=\"share-end\"><\/li><\/ul><\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>El gigante del retail y servicios por internet Amazon\u00a0tiene una divisi\u00f3n que merece mucha atenci\u00f3n por su exitoso trabajo en Analytics conocida como SCOT por sus siglas en ingl\u00e9s Supply Chain Optimization Technologies. Este departamento es responsable entre otras de analizar todo el big data resultante de\u00a0la navegaci\u00f3n, las b\u00fasquedas y hasta los perfiles de [&hellip;]<\/p>\n<div class=\"sharedaddy sd-sharing-enabled\"><div class=\"robots-nocontent sd-block sd-social sd-social-icon-text sd-sharing\"><div class=\"sd-content\"><ul><li class=\"share-twitter\"><a rel=\"nofollow noopener noreferrer\" data-shared=\"sharing-twitter-433\" class=\"share-twitter sd-button share-icon\" href=\"https:\/\/agiltools.com\/blogsp\/amazon-scot\/?share=twitter\" target=\"_blank\" title=\"Click to share on Twitter\"><span>Twitter<\/span><\/a><\/li><li class=\"share-facebook\"><a rel=\"nofollow noopener noreferrer\" data-shared=\"sharing-facebook-433\" class=\"share-facebook sd-button share-icon\" href=\"https:\/\/agiltools.com\/blogsp\/amazon-scot\/?share=facebook\" target=\"_blank\" title=\"Click to share on Facebook\"><span>Facebook<\/span><\/a><\/li><li class=\"share-end\"><\/li><\/ul><\/div><\/div><\/div>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"spay_email":""},"categories":[3,45],"tags":[75,76],"jetpack_featured_media_url":"","jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/posts\/433"}],"collection":[{"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/comments?post=433"}],"version-history":[{"count":7,"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/posts\/433\/revisions"}],"predecessor-version":[{"id":512,"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/posts\/433\/revisions\/512"}],"wp:attachment":[{"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/media?parent=433"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/categories?post=433"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agiltools.com\/blogsp\/wp-json\/wp\/v2\/tags?post=433"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}