Microsoft Senior Data Scientist 

Taiwan, Taoyuan City 

121482863

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Required/minimum qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 5+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis.
• 5+ years leveraging the practical uses of statistics (i.e. experimentation, statistical modeling).
• 2+ 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.

• Lead efforts to gather project-specific data, build usable datasets for modeling, and enhance internal best practices for data collection. Engage with customers to ensure data integrity and alignment with ethical standards.

• Assess and improve team models, champion modeling best practices, and develop scalable operational models. Innovate new evaluation techniques and conduct rigorous reviews of analysis methods.

• Stay current with industry trends and technologies to inform strategic decisions. Write extensible, multi-feature code and refine debugging skills to support robust development.

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 strategy goals, collaborate across teams to uncover new opportunities, and maintain a customer-first approach to deliver realistic, value-driven solutions.

You will embody our and