The Azure Compute Capacity and Efficiency (AC2E) team is responsible for managing all aspects of capacity and efficiency across the Azure Compute fleet. Their primary mission is to deliver a fully automated and highly optimized tracking and management system, with a core component being the Capacity Management Automation System (CMAS), which leverages advanced algorithms and artificial intelligence (AI) to predict capacity risks and automatically execute mitigation actions within the Azure Compute platform. This role aims to improve Azure platform, fulfillment rates for Azure services, customer satisfaction, and efficiency metrics, including reductions in Cost of Goods Sold (COGS).
Requirements
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
- 1+ year(s) experience with python or R.
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science OR related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
- Familiarity with Azure is a plus.
Responsibilities
- Help with initial data collection and understand which analysis techniques are appropriate and which tools are necessary for data exploration.
- Develop a foundational understanding of methodology and standard statistical options so that you can analyze and organize data as required.
- Understand modeling techniques used within the team, then run model tools on prepared data sets.
- Analyze model performance and incorporate customer feedback into its evaluation.
- Write code for a specific feature or model and develop an understanding of proper debugging techniques.
- Develop Data insights, analysis, recommendations generation gaining deeper domain knowledge.
- Integrate analytics intelligence, ML capabilities into the Azure platform.
Other
- Understand the current state of the industry, including current trend.
- Understand each customer’s business goals and learn how to identify growth opportunities.
- Examine projects through a customer-oriented focus and manage customer expectations regarding project progress.
- Collaborate with Microsoft Researchers on strategic projects as applicable.
- Embody our Culture and Values.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
