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Sr. Research Scientist - Apparel and Shoes, Amazon Softlines Technology

Job Field: Office Jobs
Location: SEATTLE, WA
Salary: $-
Job Type: Part Time
JOB SUMMARY:
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               <td align="left"><font style="font-size: 100%;">Sr. Research Scientist - Apparel and Shoes, Amazon Softlines Technology<BR><BR><BR><BR>Job ID: 183810<BR>Location: US-WA-Seattle<BR><BR>Posted Date: 10/26/2012<BR>Company: Amazon Corporate LLC<BR><BR>Position Category: Research Science <BR>Apply for This Position<BR><BR>* Apply for this position online<BR>* E-mail this position to a friend<BR>Position Details<BR>Job Description<BR>The Amazon Softlines Technology organization is singularly focused on the clothing, shoes, watches, jewelry and accessories category ("Softlines") online experience where we own and influence the end to end customer experience ranging from traffic generating innovations to purchase and post-sale experience. The Apparel Retail industry in the US alone is a $300 billion industry where only 11% of it is online and growing fast. Be part of growing one of Amazon''s top strategic initiatives in one of the largest and most lucrative industries worldwide.<BR><BR>We are looking for a Senior Research Scientist who will is able to lead, deliver, and influence game changing innovations in the Softlines industry. We need someone who can look at problems holistically, understand the goals of the business and develop analyses and understanding that will inform the set of multi-variate experiments to test in order to improve the customer experience. We''re looking for someone who can work with Big Data and make sense out of all our customer behavior data to help match customers with others who have similar buying habits and profiles. You''ll have an opportunity to leverage the scale of Amazon to create innovative solutions that can be game changing on how people shop for clothes online and trust that it will fit. The possibilities are endless.<BR><BR>Our group is made up of solid software developers, seasoned product and program managers and creative visual designers who form a great team to raise the bar on the customer experience. We use agile development and want candidates who can thrive in a fast paced, high energy work environment where we deliver lots of value to our customers, in a very short time. If this sounds like a team that you want to be a part of, we want you to apply NOW!<BR><BR><BR><BR>Basic Qualifications<BR><BR>* PhD in Statistics, Computer Science, Bioinformatics or related discipline<BR>* Excellent knowledge of MySQL, Oracle, Linux and OLAP<BR>* Extensive experience in data mining and analysis of large datasets<BR>* Ability to translate business requirements into reporting solutions<BR>* Ability to analyze mined data and extrapolate conclusions<BR>Preferred Qualifications<BR><BR>* Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.<BR>* The ability to distill problem definitions, models, constraints from informal business requirements; and to deal with ambiguity and competing objectives.<BR>* Knowledgeable about search and/or information retrieval techniques and website click-stream analysis<BR>* Solid written and oral communication skills for presenting data findings across the company<BR>* Sel                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  </font></td>
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