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Research Intern - Applied Science in Viva Insights

Microsoft
United States, Washington, Redmond
Jan 10, 2025
OverviewResearch Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.Viva Insights aims to create cultures where people and businesses thrive by improving how people and organizations work with data and science. The product enables organizations to use actionable workplace insights to increase productivity and engagement and helps them through their AI transformation journey. We are here to help employees feel better and be better at work, and organizations achieve important business outcomes. Learn more about Viva Insights here. The Viva Insights Applied and Data Science is a team of Data & Applied Scientists that work together to leverage advanced analytics, ML/AI techniques, and behavioral research to find new ways to measure human behavior, drive impactful improvements to the Viva Insights product, and conduct research to discover new interventions to help our customers thrive at work in the age of AI.
ResponsibilitiesResearch Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. In this role you will conduct and source research needed to back Viva Insights product directions with science and uncover innovative ideas for product growth. You will use data science, research and analytics to be at the forefront of product strategy and investment, identify new opportunities and ideas for product innovation in partnership with customers and foster our reputation as world leaders in the organizational productivity area. Responsibilities include: AI Agent Prototype Development and Impact Study:Utilize machine learning, natural language processing, and other AI engineering techniques to design and build an AI agent capable of providing data-driven insights and scientific interpretations of Copilot usage data and other relevant behavioral and business data. Conduct a study to evaluate the impact of the agent on key business outcomes.Collaboration across disciplines: Collaborate across applied science, user research, data science, product, engineering, and design to scope agent capabilities, develop a phased plan and build a working science-backed agent that addresses real customer needs in the employee experience and data and analytics markets. Knowledge sharing and product impact: Provide insights and breakthroughs through prototypes, internal learning sessions, and external thought leadership, and work with product teams to incorporate findings into the existing Copilot Analytics product. Publication and internal reports: Work towards submitting a research paper in a top conference or journal in HCI or AI applications as well as author internal reports for leadership in product.
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