The Microsoft Cloud+AI Design team is looking for a Data Scientist to join our Experience Analytics team – we work hard, have fun, and value collaboration and individuality in each other. As a team, we're passionate about maximizing the impact of Data Science work on Design and Product decisions, and we are leading discussions in this area within Microsoft and beyond. Join us if you want to impact how millions of users use the cloud and all the services it enables. Our customers range from people with highly technical skills to information workers working with cloud enabled devices and services. Our product portfolio includes Dynamics, Azure, Power BI, PowerApps, Flow, and more. The mission of the Experience Analytics team is to leverage product telemetry to unpack the nuance behind our customers' end-to-end journeys and drive design decisions. As a Data Scientist on the Experience Analytics team, you'll answer key questions about users, their in-product workflow, and the quality of the
Work closely with product teams to identify research questions, and partner with Engineering to ensure that the right data is being collected to answer those questions Conduct analyses that can help product teams explain the context behind their business metrics results, through a detailed breakdown of the behaviors and characteristics that users exhibit while using the product Communicate your findings in a clear, concise, and visual (when appropriate) manner to our key stakeholders on the product and design teams, and drive meaningful action based on those findings Proactively engage in a culture
A Bachelor's Degree in Data Science, Cognitive Science, Information Science, Human-Computer Interaction, Statistics, or a similar relevant field (Master's or higher preferred). We know that there are many paths that may have led you to the intersection of Design and Data Science, so we are flexible on the specific area of study so long as there is a strong educational foundation to your career. A demonstrated background in statistics and machine learning – you should be self-directed when it comes to choosing an analysis approach given a research question and a dataset Experience with a statistical