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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%;">Senior Research Scientist<BR><BR><BR><BR>Job ID: 194294<BR>Location: US-WA-Seattle<BR><BR>Posted Date: 10/11/2012<BR>Company: Amazon Corporate LLC<BR><BR>Position Category: Customer Service <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>Do you want to join an innovative team of scientists who use machine learning and statistical techniques to provide the best customer experience on earth? Do you want to change the way that people work with customer service? Our team wants to lead technical innovation in these spaces and set the bar for every other company that exists. We love data, and we have lots of it. We''re looking for research scientists to work closely with development teams to develop cutting edge machine learning and statistical solutions<BR><BR>If you like to own end-to-end business problems and metrics which would have a direct impact on the bottom line of our business while improving customer experience, if you see how data and technology can be used to improve customer experience, if you love to innovate, if you love to build and if you deliver results, then we want you to be in our team.<BR><BR>Major responsibilities<BR>? Use statistical and machine learning techniques to create scalable solutions for business problems<BR>? Analyze and extract relevant information from large amounts of Amazon historical business data to help automate and optimize key processes<BR>? Design, development and evaluation of highly innovative models for predictive learning<BR>? Work closely with software engineering teams to drive real-time model implementations and new feature creations<BR>? Work closely with operations staff to optimize various business operations<BR>? Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation<BR>? Track general business activity and provide clear, compelling management reporting on a regular basis<BR>? Research and implement novel machine learning and statistical approaches<BR>Basic Qualifications<BR>Basic qualifications<BR><BR>* A CS in machine learning, Statistics, Operational research or in a highly quantitative field<BR>* 6+ years of hands-on experience in modeling and large data analysis<BR>* 3+ years of experience using SAS/R and SQL in a Linux or UNIX environment<BR>* Strong communication and data presentation skills<BR>* Strong problem solving ability<BR>Preferred Qualifications<BR>Preferred qualifications<BR><BR>* A PhD in CS machine learning, Statistics, Operational research or in a highly quantitative field<BR>* 5+ years of industry experience in predictive modeling and large data analysis<BR>* Strong skills with Perl (or similar scripting language) and Java/C++<BR>* 1+ year distributed programming experience                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        </font></td>
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