Demand Forecaster at Microsoft

Demand Forecaster Details

Jan. 10, 2019, 10:32 p.m.
Individual Contributor
Redmond, WA
Demand Forecasting team Cloud Capacity Planning
Microsoft Cloud Capacity Planning is an exciting and fast evolving engineering group within Microsoft. MCCP's mission is to optimize and deliver industry leading cloud infrastructure and foundational technologies for Microsoft's online services. The organization is responsible for strategy and delivery of the foundational platform for all Microsoft Online Services including demand and capacity planning, supply chain management, data center planning and construction, networking, bandwidth, operations, and incident management. MCCP supports over 200 online businesses including Bing, O365, OneDrive, Xbox and Windows Azure branded services. The MCCP Cloud Services Demand Forecasting team leads the global demand forecasting for all of Microsoft's current and future on-line services. We are looking for outstanding Forecasters to join our team. We're looking for someone who is passionate about forecast modeling and business analytics, is comfortable dealing with ambiguity and unknowns, with a

In this role, you will get your hands dirty building complex forecasting models using a variety of techniques (e.g., time series, regression, machine learning). You will also work with our team of Data Scientists and engineers to implement your models in production. You will understand drivers of demand and the complexities of the cloud business, work with primary and secondary research, and present findings to senior executives across MSFT to support high-value and high-profile capacity investment decisions. You will solve ambiguous business problems and identify key macro and micro trends affecting
Preferred Qualifications: Understanding and experience in forecasting science and predictive modeling. Experience in data analytics and modeling using R. Experience accessing and working with data in SQL, or if no SQL background willingness to learn (applies to many other technologies as well). Adept and passionate about building relationships across disparate teams and working in a matrix environment. Self-starter who can move forward in the face of ambiguity and can help drive to clarity and impact in projects. Quick learner and able to adapt to changing environment and learn new, complex topics;
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