Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Shaping AI-powered experiences by defining metrics, designing experiments, and building analytics frameworks to improve user experience and product quality for Microsoft Copilot with an accent on causal inference and statistical analysis. Focus on diagnosing product and model performance issues, proposing actionable solutions, and ensuring data quality.

Location: Must live within a 25-mile commute of a Microsoft office in China or be expected to work from the office at least four days per week.

Company

Microsoft's mission is to empower every person and every organization on the planet to achieve more through building intelligent and trustworthy Copilot experiences.

What you will do

• Define and evolve product health metrics for Copilot experiences.
• Design and execute A/B tests and quasi-experimental analyses to evaluate feature impact.
• Build robust causal inference and statistical analysis frameworks.
• Develop scalable data pipelines, monitoring dashboards, and self-service analytics.
• Diagnose product and model performance issues and propose actionable solutions.
• Communicate insights and recommendations to technical and non-technical stakeholders.

Requirements

• Doctorate, Master’s, or Bachelor’s Degree in a quantitative field (Data Science, Mathematics, Statistics, etc.) or equivalent experience.
• 5+ years of professional experience applying data science/analytics to solve complex product or business problems.
• Solid hands-on skills in Python and SQL; experience with large-scale data processing and analytical workflows.
• Solid foundation in statistical modeling, experimentation design, hypothesis testing, and causal inference.
• Experience building metrics systems, dashboards, and decision frameworks for product development.
• Excellent communication skills in English (written and verbal).

Nice to have

• Experience in AI product analytics, conversational AI, LLM evaluation, or recommendation/search systems.
• Familiarity with Copilot-like interaction data and quality frameworks.
• Experience with cloud and big data platforms (Azure preferred).
• Track record of influencing product strategy through rigorous experimentation and measurable business impact.
• Ability to mentor peers and raise the data-science bar within a cross-functional product team.

Culture & Benefits

• Growth mindset and collaborative environment.
• Values of respect, integrity, and accountability.
• Culture of inclusion where everyone can thrive.