100,000's of Government Jobs

Search Government Jobs

Job Field: Office Jobs
Location: SEATTLE, WA
Salary: $-
Job Type: Part Time

JOB SUMMARY:

---

</tr>
            </table>
            <table border="0" bgColor="#F5F5F5" cellpadding="5" cellspacing="0" style="border-collapse: collapse" width="100%">
            <tr>
               <td align="left"><font style="font-size: 100%;">Research Scientist<BR><BR><BR><BR>Job ID: 175322<BR>Location: US-WA-Seattle<BR><BR>Posted Date: 8/28/2012<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 Kindle offers the opportunity to work with vast stores of exceptionally rich data and implement business-impacting predictive models and decision support systems very rapidly. This position is in the world-wide demand planning team for Amazon''s Kindle division including Kindle Fire and Kindle e-readers and the right candidate will have the opportunity to build our decision support systems.<BR>The ideal candidate will be knowledgeable about best practice data modeling and analysis techniques and he or she will be adept at building systems that create value out of data analysis. He or she will:<BR><BR>* Implement systems and work with developers and data engineers to operationalize our models for use by the larger organization<BR>* Improve current statistical models (e.g. ARIMA, VAR, regression) and models of customer behavior (e.g. product diffusion models) by incorporating richer information and adding new modeling techniques or methodologies<BR>* Understand and predict customer behavior in the aggregate and by segmentations<BR>* Help the business to measure and manage risk associated with building devices<BR>* Interact with other teams within Amazon to ensure that we are capturing the best practices around the modeling of customer behavior and statistical modeling<BR>* Think creatively: Amazon is a place that is permanently pushing the boundaries of the industry. We are not looking for someone that will just execute database queries and implement a list of functional requirements. We want someone that will take it to the next level in terms of how to best use amazon?s information and amazon?s technological infrastructure<BR>* Generate Impact: We want someone obsessed with impact. We don?t want someone that is just interested in finding patterns in the data. We want someone that understands how to turn those discoveries into value for our customers every day.<BR>Basic Qualifications<BR><BR>* 3+ years of experience with data analysis in a variety of quantitative fields.<BR>* Undergraduate degree in computer science or some experience in software development engineering<BR>* Graduate degree in statistics, finance or quantitative social science or 5+ years of experience building data analysis and decision support systems (OBIEE, etc)<BR><BR>* Experience with SQL and with R, Stata, SAS or other statistical language<BR>* Strong written and verbal communication skills<BR>Preferred Qualifications<BR><BR>* Experience with data analysis in a variety of quantitative fields and experience building data analysis and decision support systems<BR>* 3+ years of experience in software engineering or enterprise software implementation and configuration<BR>* PhD degree in a quantitative field<BR>* Passion about analyzing and creating value out of data                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                </font></td>
            </tr>
            </table>
            <table border="0" bgColor="#F5F5F5" cellpadding="0" cellspacing="0" style="border-collapse: collapse" width="100%">
            <tr>