Microsoft Data Applied Scientist 

Taiwan, Taoyuan City 

275765014

Microsoft Cloud Operations + Innovation (CO+I) is the engine that powers Microsoft's cloud services. Microsoft Cloud Operations + Innovationis responsible fordesigning, building, andour unified global datacenters, managing the supply planning and capacityof our unified infrastructure, andis responsible forall of

We offer engaging and motivating work wherebe empowered to make an impact. You will have the independence and hybrid working flexibility you needand solve problemsWe takea holistic approach

state of the artcutting edgeeconometric/ ML (Machine Learning) demand andAdditionally, they will have to be able totheir software engineering skills to connect to various upstream and downstream systems ensuring the forecasting plan matches the execution.

our culture every day.

Required Qualification:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • ORMaster's Degreein Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.

Other Requirements:

to meet Microsoft, customer and/or government security screening requirementsfor this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will beto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualification:

• Good communication and leadership skills to drive projects and build buy-in and support.
• Experience in Demand Forecasting
• Technical certifications relevant to data analysis/BI (

• Connect and build APIs for turning data science models into a full production system

• impactingdemand, anddevelop automated statistical solutions for forecasting.

• Develop End to End (E2E) models in R/ Python – including data manipulation, model building and business applications

• identifyopportunities forleveraging