Please send resume to sharon.wan@microsoft.com if you or your friend is interested. --------------------------------------------------------------------------------------------------------------------------------- Applied Researcher Location: United States, CA, Mountain View Job ID: 752008 38780 Division: Online Services Division Are you intrigued by the opportunity to build a new generation of internet advertisement products that can transform a multi-billion dollar marketplace? Do you possess strong machine learning, statistical modeling, data analysis, and optimization skills? Do you dream to be at a workplace that combines the innovativeness of a start-up and the deep resource of one of the biggest technology companies in the world? Join the Contextual Advertising Science team in the Online Service Division at Microsoft to build world class yield management models! Our mission is to foster a strong marketplace where advertisers have the best return-on-investment experience, publishers providing the highest quality contents are rewarded with the highest revenue per page view, and most importantly, the users consuming the contents have the greatest satisfaction from their viewing experiences. Responsibilities: Work independently and collaboratively within the team and across teams to create the next generation user response prediction models, ranking and pricing algorithms Work with developers to turn models into systems Perform in-depth yield management data analyses Qualifications: Ph.D. in Statistics, CS, EE, Math or related areas 5 years of working experience in machine learning, statistical modeling and data analysis Hands-on experiences in C#, C++, or Java Proficiency in at least one statistical analysis tools such as R, SAS, or SPSS Strong interpersonal, communication and presentation communication skills; must be able to explain technical concepts and analysis implications clearly to a wide audience Skills in leading algorithm design and implementation independently Experiences in grid computing |
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