Data Science Ic3

**Data Science IC3**:
Hyderabad, Telangana, India

Date posted

**Sep 08, 2025**
- Job number

**1872902**
- Work site

**Up to 50% work from home**
- Travel

**0-25**%**
- Role type

**Individual Contributor**
- Profession

**Research, Applied, & Data Sciences**
- Discipline

**Data Science**
- Employment type

**Full-Time**

**Overview**:

- Microsoft’s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure underlying this growth including AI CSCP’s vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale. Our mission is to deliver the world's computer with an industry-leading supply chain. The CSCP organization is responsible for traditional supply chain functions such as plan, source, make, deliver, but also manages supportability (spares), sustainability, and decommissioning of datacenter assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is supported by more than 300 datacenters around the world that enable services for more than 1 billion customers in over 90 countries.

Microsoft Cloud Planning (MCP) is the central planning function within CSCP focused on forecasting, demand planning, and supply planning for all Microsoft Cloud services and associated hardware, directly impacting the success of Microsoft's cloud business.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

CSCP #CSCPJobs

**Qualifications**:

- Minimum qualifications:
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Other Requirements:
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.

Preferred qualifications:

- PhD in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field.
- Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency.
- Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice.
- Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git.
- Knowledge of supply chain models, operations research techniques, optimization modelling and solvers.

**Responsibilities**:

- Researching and developing production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for our global cloud business by using statistical and machine learning techniques.
- Manage large volumes of data, and create new and improved solutions for data collection, management, analyses, and data science model development.
- Drive the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection.
- Work closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning.
- Present analytical findings and business insights to project managers, stakeholders, and senior leadership and keep abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance.
- Oversees and directs the plan or forecast across the company for demand planning. Evangelizes the demand plan with other leaders.
- Drives clarity and understanding of what is required to achieve the plan (e.g., promotions, sales resources, collaborative planning, forecasting, and replenishment [CPFR], budget, engineering changes) and assesses plans to mitigate potential risks and issues.
- Oversees the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models.
- Oversees development of short and long term (e.g., weekly, monthly, quarterly) demand forecasts and develops and publishes key forecast accuracy metrics. Analyzes data to identify potential sources of forecasting error. Serves as an expert resource and leader of demand planning across the company and ensures that business drivers are incorporated into the plan (e.g., forecast, budget).
- Modifies statistical analysis tools for evaluating Machine L