As Microsoft continues to push the boundaries of AI, we are on the lookout for individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. We're looking for a Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. You will help us describe and measure how people use Microsoft Copilot.
The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. You will develop metrics for Copilot usage and quality, drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot. You will also drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.
To succeed in this role, you will need to have a strong background in data science, mathematics, statistics, econometrics, economics, operations research, computer science, or a related field. You will also need to have experience with prompt engineering and using LLMs, building data pipelines to support analytics and experiment scenarios, and working on product analytics to drive product improvements.
You will be working closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders. You will need to have a keen interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
This is a full-time position, and you will be expected to work from a designated Microsoft office at least four days a week if you live within 50 miles of that location. The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.
XML job scraping automation by YubHub
