Microsoft Senior Data Applied Scientist 

Taiwan, Taoyuan City 

920696295

Required Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    OR equivalent experience.
• 4+ years’ experience in building data pipelines, ETL using cloud computing like, Kusto (Azure Data Explorer), Azure Key Vault, Azure Storage or similar.
• 4+ years experience building KPIs and dashboards using DAX and PowerBI.

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:

• Experience in building Machine Learning solutions using GenAI, LLM, GPT models
• Security Domain knowledge.

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 April 4, 2025.

• Build data pipelines, ETL using Kusto queries and DAX to build leadership level metrics, KPIs, trends and visualizations using Power BI dashboards.
• Partner with Security PMs, Security engineering, and leadership teams to implement scalable data-driven frameworks for evaluating metrics and KPIs, and build scalable PowerBI dashboards.
• Build tools for data manipulation, processing, and visualization to extract insights and share these tools, knowledge, and findings across partner teams.
• Interpret data and communicate in a clear and lucid way to a wide variety of audiences.
• Influence decision-making by providing clarity through complex datasets and statistical analyses.Mentor early-in-career teammates and establish high standards in both data science and engineering excellence
• Work in collaboration with teammates to ensure reliable and trust-worthy data for critical business decisions to improve reliability, scalability, and efficiency.
• Build AI/ML models using GenAI, LLM, ChatGPT, AgenticAI and similar.