Data Scientist II
 Microsoft | |
 United States, Washington, Redmond | |
 Sep 21, 2025 | |
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OverviewMicrosoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. We are looking for a Data Scientist II to join our team! This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Dataverse is the platform to securely store an enormous amount of data in a cost efficient, scalable and easily manageable way. This team builds a suite of microservices to get near real-time insights over your data in Microsoft Dataverse Search. You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality. 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. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
ResponsibilitiesDesign and development of advanced AI models and agentic systems for real-world applications.Own and drive end-to-end model training, including data pipeline design, distributed training optimization, and performance evaluation.Stay up to date with the latest advancements in LLM, NLP, deep learning, search and AI research.Research and develop an understanding of thestate-of-the-arttools, technologies, and methods being used in the research community and product groups.Drive innovation by staying current with the latest research, technologies, and best practices in AI/ML, and Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as search, planning, and long-term memory.Collaborate closely with engineering, product, and research teams to productionize models, build scalable, robust pipelines and provide support for in production AI Models/Agents. End-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring. Conduct applied science experiments,createandvalidatemetrics, develop ML pipeline and modeling algorithmin the area ofLarge Language Models, Natural Language Processing, Information Retrieval, and Machine Learning. Conduct experiments to evaluate model performance (including Large Language Models), troubleshoot issues, and iterate improvements. | |