Microsoft Principal Data Scientist 

Switzerland, Zurich, Zurich 

187126473

The

• 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.

We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

Modeling and Statistical Analysis

• Develops and applies ML frameworks and best practices for scalable and ethical solutions.

Evaluation

• Oversees review of data analysis and modeling techniques. Ensures selected modeling techniques are appropriate and align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects).

Industry and Research Knowledge/Opportunity Identification

• Provides feedback, drives improvement, and shares knowledge as a data science expert.

Coding and Debugging

• Writes and debugs code for complex projects and leads solution development.

Business Management

• Leads ML and data-science partnerships and IP improvement.

Customer/Partner Orientation

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