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Microsoft Hiring for Data & Applied Scientist at Irving, TX Full Time
OverviewDo you want to be part of a growing global team creating solutions to critical business problems across multiple applications and service platforms? We are looking for Data & Applied Scientists I and Data & Applied Scientist II with a range of talents who will help create innovative, scalable & automated solutions as well as delightful end user experiences using generative AI and Copilot functionality. Copilots have emerged as transformative technologies that boost productivity and thus empower every person and every organization on the planet to achieve more. To drive these generative Artificial Intelligence experiences, Microsoft relies on ambitious advances in Artificial Intelligence research and applying them to our products. Dynamics 365 is one of the fastest growing SaaS Enterprise Resource Planning (ERP) portfolios in the world with capabilities across Finance, Supply Chain Management, Project Operations, Commerce and Human Resources. We specialize in best-in-class solutions enabling businesses to run their end-to-end operations for the Dynamics 365 line of ERP software supporting a wide variety of industries. We have a mission to be the most innovative and trusted solution on the market incorporating the latest in artificial intelligence, automation and integrated analytics leveraging the breadth of Microsoft Azure, Office, Teams, Dynamics, and the Power Platform to continually meet the growing needs of businesses in a fast-moving environment. 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.In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
ResponsibilitiesContribute to Microsoft Copilot development by building multi-model solutions using OpenAI as well Open Source Large Language Models (LLMs) to real-world business problems that delight our customers.Participate in end-to-end machine learning model lifecycle, from prototyping, implementing & evaluating various Machine Learning models (traditional, Deep Learning or Large Language Models), followed by deployment and monitoring using Azure tools. Implement solutions leveraging machine learning, data science, AI, and copilot initiatives with focus on quality, usability, customer value & performance leveraging data for making decisions. Execute Machine learning Operations (MLOps) with emphasis on timely collaboration, communication, response, delivery & satisfaction for all internal & external stakeholders. Designing and analyzing controlled experiments and observational analyses using causal inference techniques. Absorb Machine Learning literature, especially in Natural language processing and be able to quickly learn and prototype new techniques by reading relevant research papers / textbooks.Be accountable for the highest standards of AI ethics, including following all Microsoft policies around handing data and AI model building.OtherEmbody our Culture and Values
ResponsibilitiesContribute to Microsoft Copilot development by building multi-model solutions using OpenAI as well Open Source Large Language Models (LLMs) to real-world business problems that delight our customers.Participate in end-to-end machine learning model lifecycle, from prototyping, implementing & evaluating various Machine Learning models (traditional, Deep Learning or Large Language Models), followed by deployment and monitoring using Azure tools. Implement solutions leveraging machine learning, data science, AI, and copilot initiatives with focus on quality, usability, customer value & performance leveraging data for making decisions. Execute Machine learning Operations (MLOps) with emphasis on timely collaboration, communication, response, delivery & satisfaction for all internal & external stakeholders. Designing and analyzing controlled experiments and observational analyses using causal inference techniques. Absorb Machine Learning literature, especially in Natural language processing and be able to quickly learn and prototype new techniques by reading relevant research papers / textbooks.Be accountable for the highest standards of AI ethics, including following all Microsoft policies around handing data and AI model building.OtherEmbody our Culture and Values
