Job Description

Microsoft's Cloud business is experiencing explosive growth, and the Capacity, Supply Chain & Provisioning (CSCP) organization is responsible for enabling the infrastructure underlying this growth. Our mission is to deliver the world's computer with an industry-leading supply chain. CSCP is responsible for strategic sourcing, customer demand forecasting, capacity planning and management, supply chain planning and execution, capacity provisioning, and decommissioning and dispositioning ofdatacenter assets worldwide.

Within Azure Hardware Systems & Infrastructure, the Spares and Warranty team is responsible for ensuring that the right spare parts are in the right place, at the right time in support of delivering global capacity requirements. SWOps is undergoing a supply chain transformation to optimally manage the spares andwarranty from a serviceability and cost point of view. We are looking for high-energy individuals who are passionate about using data to improve customer experiences and business performance.

Use agile development principles to produce continuous value while readily adapting to change Create metrics, dashboards, and analytics that measure Service & Repair performance and optimization Design, develop, and maintain data pipelines, backend, and front-end services for reporting, monitoring, analysis, and related functions Perform rich analytics against various data sets using R, Python, Power Bl, and T-SQL Identify critical dataand telemetry required to optimize the service & repair health and efficiency, and partner with other engineering teams to grow the required data footprint. Identify critical risks to Service &Repair health across three key dimensions: Customer, Quality, and Efficiency Develop next generation of analytics and statistical models to enable a 10x growth in throughput while reducingcycle time and variation. Proactively identify continuous improvement to the deployment process and acts as a leader to drive resulting initiatives. Accountable for high quality analytics & visualizations that drive business impact & positive outcomes.

Required Qualifications:

Bachelor of Science degree in quantitative fields such as Engineering, Computer Science, and Statistics or 2+ years of equivalent work experience. 2+ years combined experience: Data Science, Program Management, Software Development, technical/engineering role(s) including demonstrated expertise in

R/Python, PowerBl, or SQL or equivalent technologies 1-3 Experience working on Data Engineering workload.

Preferred Qualifications:

Experience with supply chain analytics and modeling techniques Experience with big data technologies such as Azure Data Lake, Databricks, Hive, Spark, or Scope Data science knowledge and experience with Azure Machine Learning Experience developing and deploying ML models to solve real-world problems.

Experience with SAP ECC, OER, IBP modules is desirable. Experience in High-tech Supply Chain, Reverse Logistics, or Service Parts industry is a plus.

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the .

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