Microsoft Principal Data Scientist 

Taiwan, Taoyuan City 

336639123

As a

Required/minimum qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 8+ years leveraging the practical uses of statistics (i.e. experimentation, statistical modeling).
• 8+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis.
• 4+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 16th, 2025.

Data Stewardship & Team Enablement

• Oversee data acquisition, formatting, and documentation while mentoring engineers on best practices in data cleaning and analysis. Lead efforts to identify data gaps and guide ethical and privacy-focused data preparation.

• Assess and refine team models, promote scalable modeling practices, and introduce innovative evaluation techniques to ensure robust and reliable data-driven solutions.

• Stay ahead of industry trends and technologies to inform strategic direction. Write extensible, maintainable code and cultivate expertise in debugging and development best practices.

Experimentation Leadership & Cross-Functional Collaboration

• Champion A/B testing and experimental design to validate product impact, while leveraging tools like SQL, R, and Python for analysis. Lead and grow a high-performing data science team, and build partnerships across product and business units to deliver data-informed solutions.

• Define and align business and customer goals, explore new opportunities with cross-functional teams, and deliver pragmatic, data-aligned solutions that meet customer needs.

You will embody our