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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%;">Research Science<BR><BR><BR><BR>Job ID: 164904<BR>Location: US-WA-Seattle<BR><BR>Posted Date: 10/17/2012<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>Amazon.com is seeking an outstanding Research Scientist to join Amazon.com''s Search Experience team.<BR><BR><BR><BR><BR><BR>As a Research Scientist, you will be working within one of the world''s largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should have extensive background with Oracle and MySQL, able to construct SQL queries without the help of external tools. You have strong statistics, analytics and data mining skills that you regularly use in your analysis. You will contribute research, analytics and engineering expertise for the development of Amazon?s search pages, and working with large volumes of data to extract insight using statistics, data mining and machine learning techniques.<BR><BR><BR>You should have excellent business sense and communication skills to work with business owners in defining key business questions, as well as to build data sets that answer those questions. Above all, you should be passionate about working with huge data sets to answer business questions and drive change.<BR><BR><BR><BR><BR><BR>Our team supports the customer''s search experience for a wide range of businesses across Amazon.com and all international locales. Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. If you join the Amazon''s Search Experience team, your work will have an immediate influence on the day-to-day decision making at Amazon.com.<BR><BR>Basic Qualifications<BR>? Masters Degree in Statistics, Computer Science, Bioinformatics or related discipline<BR><BR><BR>? Excellent knowledge of Hadoop, MySQL, Oracle, Linux and OLAP<BR><BR><BR>? Extensive experience in data mining and analysis of large datasets<BR><BR><BR>? Ability to translate business requirements into reporting solutions<BR><BR><BR>? Ability to analyze mined data and extrapolate conclusions<BR><BR><BR>? Solid written and oral communication skills for presenting data findings across the company<BR><BR><BR>? Self-starter, inquisitive about Search features and their impact on Amazon customers<BR><BR>Preferred Qualifications<BR><BR><BR>* Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.<BR><BR>* The ability to distill problem definitions, models, constraints from informal business requirements; and to deal with ambiguity and competing objectives.<BR><BR>* Knowledgeable about search and/or information retrieval techniques and website click-stream analysis<BR><BR>* Domain knowledge and experience with the following areas:<BR><BR><BR>* Information retrieval, web search, relevance<BR><BR>* Statistics, machine learning, data mining, Algorithms , optimization,<BR><BR>* Experience with large                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  </font></td>
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