Responsibilities

Business Understanding and Impact  

• Makes impactful contributions to data-driven projects with understanding of business requirements and data science expertise.   

Data Preparation and Understanding  

• Manages data collection and preparation for projects.  

Modeling and Statistical Analysis  

• Applies machine learning solutions and algorithms to achieve objectives, prepare and evaluate data, and communicate findings and risks. 

• Writes scripts in various languages and understands Microsoft AI and ML tools. 

• Designs experiments and operationalizes models at scale applying AI and engineering best practices.   

Evaluation  

• Understands relationship between selected models and business objectives. 

• Ensures clear linkage between selected models and desired business objectives. 

• Defines and designs feedback and evaluation methods. 

• Presents results and findings with other team members.  

Coding and Debugging  

• Demonstrates excellent coding and debugging skills across multiple features/solutions.  

Business Management  

• Drives business value by collaborating with team members and improving solutions.  

Customer/Partner Orientation 

• Provides customer-oriented insights and solutions by understanding the business, product, data and customer perspective. 

Responsible AI  

• Adheres to Microsoft’s AI Customer Commitment  

Culture and values  

• Embody Microsoft’s culture and value as the foundation of how we operate 
  
  
  

Qualifications

Required Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field  
  • OR Master's Degree in Data Science, Mathematicas, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ years 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 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
  • OR equivalent experience.