Microsoft Senior Applied Data Scientist 

Taiwan, Taoyuan City 

469203125

As a key contributor, you will lead the design and analysis of rigorous A/B tests, implement causal inference methodologies, and develop privacy-aware analytics pipelines. You will own the full lifecycle from prototyping and validation to deployment and monitoring, while ensuring performance optimization and alignment with business KPIs. Your work will involve building high-throughput ETL workflows, integrating APIs, and maintaining robust data quality and compliance frameworks.

Required Qualifications:

• Doctorate 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 Master's 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 Bachelor's 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.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

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

Preferred Qualifications:

• Doctorate 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 Master's 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 creating publications (e.g., patents, libraries, peer-reviewed academic papers).

• Design and analyze experiments, including A/B tests, ensuring rigor and rapid iteration.
• Provide strategic insights to Senior Leadership Team (SLT) using statistical analysis and causal inference.
• Develop and implement privacy-preserving analytics solutions with compliance and bias mitigation.
• Build and maintain scalable Extract Transform Load (ETL) pipelines and production-grade analytics workflows.
• Own end-to-end Machine Learning (ML) lifecycle: model selection, tuning, retraining, and monitoring with Continuous Integration/Continuous Deployment (CI/CD).
• Collaborate with engineering and business teams to integrate services, optimize user experience, and deliver actionable insights.
• Mentor team members, enforce best practices, and ensure documentation, fairness checks, and privacy safeguards.