Data Science Ic3

21 hours ago

Hyderabad Telangana, India Microsoft Full time

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.

**Responsibilities**:

- Develop optimization algorithms and production-grade libraries, conduct experiments to support planning and execution in Microsoft’s Cloud Supply Chain business.
- 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.

**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 great 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.

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