Data & Applied Scientist at Microsoft

Data & Applied Scientist Details

Nov. 5, 2018, 10:23 p.m.
Individual Contributor
Redmond, WA
Bing, O365, OneDrive,
OVERVIEW: Microsoft seeks applications for an economist position within the Azure team to specialize in building and implementing micro and macro-econometric models for cloud market forecasting. This includes demand and capacity forecasting, supply chain, data centers, networking, bandwidth, operations, and incident management. CSCP supports over 200 online businesses including Bing, O365, OneDrive, Xbox and Windows Azure branded services. The economist will work alongside a team of other economists and data scientists inside the economics group in Azure. The group designs economic strategy for infrastructure planning and product positioning around these forecasts to optimize the value of Azure's portfolio of customer cloud offerings.

RESPONSIBILITIES : As an economist in Demand Forecasting, you will have the responsibility of: Developing production-ready demand forecast models for our global cloud business by using statistical and machine learning techniques; Working closely with other data scientists, forecasters and data engineers to deploy demand forecasting models that drive cloud infrastructure capacity planning; Collaborating with Engineering, Product Managers, Operations, Sales and Marketing, Capacity Planning, and Finance to gather requirements, and to build forecasting and decision support models to improve efficiency;
QUALIFICATIONS : Requirements: PhD in Economics (within one year of graduation date) Minimum 1 year industry experience or 1-2 summer internship programs Preferred: Existing portfolio of research papers that Apply modern macro-micro econometric technique Collect and utilize market/industry data Use the aforementioned ingredients to address an economic policy problem Accumulated summer or full time industry/government experience applying econometric tools to demand forecasting. Demonstrated ability to drive own research agenda Pragmatic approach to economic problem solving and working with data
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