Member of Technical Staff - Data Scientist

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.   

Microsoft AI (MAI) is seeking an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in data science technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Growth 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. 

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.     

By applying to this Mountain View, CA position, you are required to be local to San Francisco area and in office 3 days a week.    

Responsibilities

• Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot. 
• Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation 
• Define metrics and build basic data pipelines to enable A|B experimentation for new features. 
• Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own 
• Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers 
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.    
• Enjoy working in a fast-paced, design-driven, product development cycle.   
• Work collaboratively with our engineers, Product Managers, and marketing to take ambiguous projects that drive user growth, engagement, and retention. This includes identifying market opportunities, optimizing app flows and improving product features and proposing innovation solutions based on data. 
• Embody our Culture and 

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