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Senior Data Scientist - Azure Storage
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![]() United States, Texas, Irving | |
![]() 7000 State Highway 161 (Show on map) | |
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OverviewAre you passionate about data, problem solving, distributed systems, and being on the forefront of driving innovations and efficiencies at a massive scale? If so, the Microsoft Azure Storage team might be a great fit for you.Azure Storage, a cornerstone of Microsoft Azure, offers 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 provides a suite of services including Blob Storage, File Storage, Queue Storage, and Table Storage, each designed to meet the diverse needs of our customers' modern data workloads. We have grown tremendously, with several Exabytes of data stored on our platform, and are designing and building systems for Zettabyte scale to support the anticipated demand for the coming years.As we continue to innovate and expand our capabilities, we are looking for a Senior Data Scientist- Azure Storage who can leverage data to solve high-impact business problems. In this role, you will have the opportunity to use machine learning techniques and statistical analyses to experiment with data and push the boundaries of how much value we can create for both our customers and the business. You will be able to use the insights you gain to help shape and strengthen Azure Storage's technical and business strategy, as well as to have a direct impact on storage efficiency by collaborating with our brightest engineers across the Azure stack to deliver end-to-end results.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. If you share our values, love working with data, and want to solve some of the most exciting challenges on a massive product like Azure storage, this could be the perfect position for you.
ResponsibilitiesDesign and implement predictive and prescriptive models to personalize learning content based on user roles, skills, and context.Collaborate with product managers, engineers, and user experience (UX) researchers to translate business needs into analytical solutions.Develop scalable machine learning (ML) pipelines and integrate them into Storage's backend systems.Conduct experiments to evaluate model performance and iterate based on feedback and telemetry.Evangelize data science best practices across the team and mentor other data scientists.Explore and apply generative artificial intelligence (Generative AI) techniques (e.g., large language models (LLMs), prompt engineering, fine-tuning) to enhance learning experiences, automate content generation, and improve semantic understanding.Knowledge and implementation of an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.Write efficient, readable, extensible code from scratch that spans multiple features/solutions. Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects. |