Microsoft Data Applied Scientist 

Taiwan, Taoyuan City 

637489108

Required Qualifications:

• Doctorate in Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or related field
  • ORMaster's Degree in Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research,or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
  • ORBachelor's Degree in Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • ORequivalent experience.
• 1+ years of experience with anamoly detection, AI/ML framework, and agentic frameworks

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

Preferred Qualifications:

• Doctorate in Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • ORMaster's Degree inComputer Science, Computer Engineering, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • Bachelor's Degree inComputer Science, Computer Engineering, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, 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.

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 May 20, 2025.

We are an agile team that emphasizes teamwork and collaboration. Team members are expected to:

• Share accountability of a wide array of assets and be comfortable with learning a broad array of technologies.
• Independently design and implement anomaly detection, auto-triaging/correlation, and causal inference model to deliver preventive insights to improve Azure cloud system availability, reliability, and efficiency.
• Work with partner teams to integrate the Insights into Azure daily dev operations and Azure system for automatic mitigation and repairs.
• Contribute towards driving visibility into customer impacting on Virtual Machines or Containers or higher-level Azure services built on top of Virtual Machines.
• Assist with building an automated data quality solution to detect problems in downstream dependencies and take automated action to correct them.
• Look for opportunities to share learnings and tools broadly within Microsoft and beyond. Specifically, our team does cutting edge work with Azure Data Explorer (Kusto) and makes a point at contributing back to the larger environment.