Office 365 continues to lead the cloud transformation for Microsoft and has become the locomotive for services across the Company. With hundreds of thousands of customers and hundreds of million users already on the service, Office 365 is leading the future of services. Customers and Partners are betting on the cloud and expecting Office 365 to deliver an unparalleled experience on the service. Our customers deserve and expect high satisfaction from the service and Office 365 is taking bold steps to deliver to this standard. Office 365 is leading the transformation and redefinition of how we help customers on the service. Our mission is to distinguish O365 support as a cloud-first support model that is optimized for customer experience and based on a culture of satisfaction.
The Data and Applied Scientists from the Business Intelligence team explore the big data from Office 365 operation and support in search of consistent patterns and systematic relationships (connect the dots) across all data sources involved. The goal of this team is to predict trends, find insides and produce actionable, trustworthy recommendations and decisions for Office 365 operation and modern support, which is curried on through an analytical modelling process based on machine learning by processing structured, semi-structed and unstructured data.
Required Qualifications: 5-7+ years (including MS program or PhD program) of experience working with large data sets or doing large scale quantitative analysis and predictive moldering work. Experience working on various forecast tasks is a big plus. Bachelor's or Master's degree, or PhD's degree in Computer Science, Mathematics, Physics, Engineering, Statistics or other related technical major fields. Experience processing large data sets through statistical software (ex. R, SAS) and program language (ex, Python), or other methods. Strong algorithmic problem-solving skills. Fundamental understanding