New 
Data Scientist
 Microsoft | |
 United States, California, Mountain View | |
 Oct 10, 2025 | |
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OverviewAre you passionate about data, problem solving, distributed systems, and driving innovation at massive scale? If so, the Microsoft Azure Storage team may be a great fit. Azure Storage is a foundational component of Microsoft Azure, providing a robust and scalable platform for global customers to store and manage their data. With a focus on performance, reliability, durability, and security, Azure Storage offers services such as Binary Large Object (Blob) Storage, File Storage, Queue Storage, and Table Storage-each designed to support diverse modern data workloads.Azure Storage has grown significantly, now hosting several exabytes of data, and is actively designing systems to support zettabyte-scale demand in the years ahead. As we continue to innovate and expand our capabilities, we are looking for a Data Scientist who can leverage data to solve high-impact business problems. In this role, you will apply machine learning (ML) techniques and statistical analysis to experiment with data and uncover insights that shape Azure Storage's technical and business strategy.You will have the opportunity to collaborate with engineers across the Azure stack to deliver end-to-end solutions that improve storage efficiency and customer experience. This role offers a chance to grow your expertise in ML, distributed systems, and cloud infrastructure while contributing to one of the most critical services in Microsoft Azure.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. #EiP
ResponsibilitiesBuild Models and Agentic Applications to solve complex artificial intelligence (AI) and machine learning (ML) problems for Azure Storage.Data Analysis, Engineering to ensure the models and AI applications have high quality data to work with.You will understand modeling techniques used within the team, then run model tools on prepared data sets. You'll also analyze model performance and incorporate customer feedback into its evaluation. You will understand the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. You'll also write code for a specific feature or model, and develop an understanding of proper debugging techniques. You will understand each customer's business goals and learn best practices for identifying growth opportunities. You'll also examine projects through a customer-oriented focus, and manage customer expectations regarding project progress. | |