Data Analytics/Science Lead - #1724628

Overview

At Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys.

The Data Analytics/Science Lead - Consumer Health role is an integral part of the Microsoft Health AI team; and will act as a data generalist bringing visibility to our product efforts. We’re looking for someone who thinks deeply about measurement and human-AI interactions.

Across all our hires, it’s important for colleagues to share our enthusiasm about the role of technology and AI in health and healthcare, but also appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space. By design, we will remain a lean team (albeit within a much larger organization), and as such you will need to be action orientated, self-sufficient and actively help to cultivate and promote a positive team culture.

Microsoft’s wider 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.

Responsibilities

• Develop metrics for the healthcare category of copilot usage and quality.
• 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.
• 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.
• Embody our Culture and Values.
  
  

Required Qualifications

• Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
• Experience in leveraging complex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and possessing extensive product knowledge.
• Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results.
• Proficiency in Python
  
  

Preferred Qualifications

• Experience working on product analytics to drive product improvements
• Experience with prompt engineering and using LLMs. In particular, experience thinking about analytics in the context of conversations, and multi-turn unstructured data.
• Experience with Healthcare data or data taxonomies
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work 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
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
• Ability to work in a fast-paced environment, manage multiple priorities, experiment quickly, and adapt to changing requirements and deadlines.