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Job Field: Accounting / Finance Jobs
Location: BELLEVUE, WA
Salary: $-
Job Type: Part Time

JOB SUMMARY:

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               <td align="left"><font style="font-size: 100%;">Job Category:Software Engineering: Program Management<BR>Location:Bellevue, WA, US<BR>Job ID:814248-95746<BR>Division:Online Services Division<BR><BR><BR>Senior Data Scientist<BR><BR>Many modern businesses are data driven but perhaps none so much as Search. At Bing, a great deal of effort is spent on using masses of data to guide feature iteration.<BR><BR>The ideal candidate should be self-directed, entrepreneurial and focused on delivering the right results, not simply building software.<BR><BR>We are looking for an experienced Data scientist who can work across a range of problem areas. We have petabytes of data being collected- help Bing by converting data into insights to and help us answer key usage and business questions to help us run the business and make Bing better.<BR><BR>The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Technical aptitude and familiarity with common data mining and statistical packages. As well, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences.<BR><BR>Responsibilities<BR>Work closely with engineering team to identify and answer important product questions<BR>Research, evaluate, implement, and present statistical methods to provide actionable insights.<BR>Define new metrics and help drive feature teams to use the right metrics.<BR>Gather and manage large datasets from multiple sources.<BR>Data conditioning - transform data into a usable state using appropriate tools and techniques<BR>Research new ways for modeling and predicting end-user behavior.<BR>Lead investigations into multiple streams of product data.<BR>Evolve and enhance systems and tools for agile data analysis and visualization.<BR>Communicate findings to product managers and engineers<BR><BR>Required qualifications include:<BR><BR>M.S. or Ph.D. in a relevant technical field, or 3+ years'' experience in a relevant role<BR>Advanced degree in applied mathematics, statistics, machine learning, engineering, economics, social sciences, or related fields (Master''s degree required, PhD preferred).<BR>Extensive experience solving analytical problems using quantitative approaches<BR>Strong SQL knowledge<BR>knowledge of an analysis tool such as R, Matlab, or SAS<BR>Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources<BR>Online experimentation and associated statistical models e.g. A/B testing<BR>A strong passion for empirical research and for answering hard questions with data<BR>A flexible analytic approach that allows for results at varying levels of precision<BR>Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner<BR>Fluency with at least one scripting language<BR>Experience working with large data sets, experience working with distributed computing tools a plus<BR><BR>AFOREQ ANMAREQ O:Bing XOABX:ANMA*LI  814248                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 </font></td>
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