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Microsoft Senior Applied Data Scientist Taiwan, Taoyuan City 469203125
16.10.2025
Join M365 AI Experiences Data Platform to build the privacy first, experimentation driven data intelligence platform powering M365 Agents, People Experiences, and Windows Companions Apps. As we launch new capabilities across the ecosystem, you’ll turn raw, privacy safe signals into unified telemetry and actionable insights that let us ship faster through continuous experimentation, helping millions accomplish more every day. From industry leading “eyes off” analytics and deep behavioral understanding to mapping cross app workflows and measuring real productivity gains, you’ll architect the end to end foundation that product teams use to learn fast, decide with confidence, and build better. If you’re obsessed with software craftsmanship and responsible innovation at massive scale, come shape how M365 understands its users, and convert that understanding into intuitive, high value experiences from first instrument to final decision.
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).
Responsibilities
- 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.
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