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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%;">Machine Learning Scientist/Business Intelligence Engineer<BR><BR><BR><BR>Job ID: 189099<BR>Location: US-WA-Seattle<BR><BR>Posted Date: 8/29/2012<BR>Company: Amazon Corporate LLC<BR><BR>Position Category: Business Intelligence <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>Major responsibilities<BR>? Deep data analysis to solve business problems and to identify business opportunities for payment transactions, Digital transaction, Kindle, Web Services and Marketplace.<BR>? Design, development and evaluation of highly innovative machine learning models<BR><BR>* Use statistical and machine learning techniques to create scalable and effective models fraud detection systems<BR>* Analyzing and understanding large amounts of Amazon?s historical business data to detect patterns, to analyze trends and to identify correlations and causalities<BR>* Working closely with software engineering teams to drive real-time model implementations and new feature creations<BR>* Working closely with operations staff to optimize operation cost and efficiency.<BR>* Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation<BR>* Tracking critical business activities and providing clear, compelling management reports on a regular basis<BR>* Research and implement novel machine learning and statistical approaches<BR>Basic Qualifications<BR>Basic qualifications<BR><BR>* A MS in CS machine learning, Statistics, Operational research or in a highly quantitative field<BR>* 1+ years of hands-on experience in predictive modeling and large data analysis<BR>* 1+ years SAS/R/Matlab and SQLexperience<BR>* communication and data presentation skills<BR>* problem solving ability<BR>Preferred Qualifications<BR>Preferred qualifications<BR><BR>* A PhD in CS machine learning, Statistics, Operational research<BR>* 3+ years of industry experience in predictive modeling and large data analysis<BR>* Strong skills with SAS and SQL<BR>* Strong skills with Perl (or similar scripting language) and Java/C++TRMSjobs Amazonservices                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                </font></td>
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