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Job Field: Office 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:Research<BR>Location:Bellevue, WA, US<BR>Job ID:812499-94679<BR>Division:Online Services Division<BR><BR><BR>Online Advertising is one of the fastest growing businesses on the Internet today, with $40 billion of a $600 billion advertising market already online. Microsoft is innovating rapidly to grow its share of this market by providing the advertising industry with a world-class online advertising platform and service. The Microsoft Ads Research & Development team is one of the most strategic and growing teams at Microsoft.<BR>As part of a software company with powerful innovations and part media company with global properties, at Microsoft Ads we bring both our technical and creative side to the table. Through incisive analytics, we know who cares - both when and where. We understand how to get in front of the right people at the strongest point of influence. Above all, we love data and excel at interpreting it for our partners. Collecting valuable information from every campaign and mining it for insights.<BR><BR>Roles & Responsibilities<BR>We are looking for a seasoned data mining analyst to provide thought leadership in the Display Ads Data Mining team, responsible for building products and providing insights around new ad experiences, cross-device, targeting, product recommendations, to name a few. The ultimate goal is to optimize benefits of ads for the trio of consumers, advertisers and publishers. We are seeking a seasoned data mining analyst who can lead and drive applied research and data mining expertise in this area. This is an exciting position, providing you an opportunity to solve high-impact and real-world business problems in the online advertising space using a combination of machine learning, data mining, information retrieval and statistical methodologies. The ideal candidate should have past experience and demonstrated expertise in one of the following domains: online advertising, ad targeting, user segmentation, modeling, and business intelligence.<BR><BR>Skills & Qualifications<BR>- Familiarity with prototyping and applying data mining techniques (i.e. classification, clustering, association mining, forecasting), statistics and information retrieval methods to tangible real-world data<BR>- Ability to work independently and in a team to produce innovative solutions to challenging business problems<BR>- Experience using applied research, data analysis and data mining techniques to solve real-world big data problems<BR>- Experience solving marketing and business problems in areas of user segmentation, ad targeting, user modeling, campaign measurement, metric development and/or online experimentation<BR>- Attention to detail and data accuracy<BR>- Strong client services mentality. Consultative and customer-facing skills<BR>- Superior collaborative and communications skills (written and verbal)<BR><BR>Experience Required<BR>- Hands-on experience with various data analysis tools (SQL, Cosmos, Scope, Hadoop, Hive), data mining tools (SAS, SPSS, R, Tableau) , and statistical packag                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  </font></td>
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