Microsoft s Cloud business is expanding rapidly and the Cloud Supply Chain CSCP organization is responsible for enabling the hardware infrastructure that powers this growth including AI CSCP s vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale and its mission is to deliver the world s computer with an industry-leading supply chain In addition to traditional supply chain functions such as plan source make and deliver CSCP also manages supportability spares sustainability and global decommissioning of datacenter assets We deliver the core infrastructure and foundational technologies for more than 200 Microsoft online businesses including Bing Office 365 Xbox Live OneDrive and the Azure platform serving over 1 billion customers in 90 countries through 300 datacenters worldwide The Microsoft Capacity Planning MCP team within CSCP is tasked with planning all aspects of capacity across the Azure fleet Our aspiration is to provide fully automated and highly optimized capacity planning systems As a member of MCP you will collaborate with engineers program managers and planners across CSCP translating business problems into scalable solutions and driving them end-to-end from design to production You will also contribute to strategic decisions for all capacity-impacting features We are seeking a talented Data Scientist to develop and apply advanced methods in operations research stochastic optimization simulation and large-scale mathematical programming augmented by core computer science disciplines such as algorithms data structures and distributed computing Your work will focus on capacity planning inventory optimization and scenario analysis designing research-driven models to solve complex challenges in cloud supply chain planning The impact of your work will be measured through improvements in Azure capacity fulfillment platform efficiency COGS reduction and customer satisfaction Our team partners closely with engineering applying state-of-the-art machine learning and constrained optimization techniques to some of the most complex real-world problems at scale If you are excited by cutting-edge methods and their application in a dynamic global environment you will thrive on our team as we deliver world-class innovation Responsibilities Develop optimization algorithms and production-grade libraries conduct experiments to support planning and execution in Microsoft s Cloud Supply Chain business Apply best practices in data science software engineering and operations research to deliver impactful solutions Drive improvements to the design architecture and user experience of Microsoft first-party planning tools enhancing the productivity of Cloud Supply Chain Planners Collaborate with cross-functional teams to improve platform manageability and influence strategic decisions for capacity-impacting features Contribute to team culture and apply engineering and data science best practices in daily work Apply best practices in data science software engineering and operations research to deliver impactful solutions Qualifications Master s in Data Science Computer Science or related field with specialization in Operation Research 3 years of hands-on experience solving planning and optimization problems in supply chain domains such as capacity planning inventory optimization and buffer planning Strong computer science foundation with experience in designing and building production-grade algorithms and systems Azure Cloud Services development experience or related Proficiency in programming languages such as Python R Java C etc and experience with relational databases Kusto SQL Solid understanding of modern cloud architecture and technologies A proven track record of collaborating across organizational boundaries and delivering outstanding results Demonstrated ability to think from first principles and translate complex business problems into scalable technical solutions Comfortable working across the boundaries of data science operations research and software engineering Additional or Preferred Qualifications PQs Doctoral degree in Data Science Computer Science Operations Research or a related field Published research in leading operations research journals e g INFORMS Proven track record in building commercial-grade inventory optimization software Experience conducting UX research to inform product and system design Experience with globally distributed cloud systems with emphasis on quality scalability and reliability Microsoft is an equal opportunity employer Consistent with applicable law all qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex including pregnancy sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances If you need assistance and or a reasonable accommodation due to a disability during the application process read more about requesting accommodations

📌 Data Science Ic3 (Telangana)
🏢 Microsoft
📍 Telangana