Microsoft Senior Principal Applied Scientist 

United States, California, Mountain View 

433554834

This position will be based in either, or
Redmond, WA.

In this role, you will contribute to the development and implementation of advanced AI methods at a web scale. Key responsibilities include enhancing algorithms for both online and offline systems to deliver scalable solutions, which improve the experience of both users and advertisers. The work impacts Microsoft Ads, Microsoft Audience Network, Copilot, and more.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
• 8+ years of experience in Research or Data Science role.

Preferred Qualifications:

• Research experience (publications) in the following areas is preferred: statistical machine learning, deep learning, data mining, causal inference, information retrieval, and Bayesian inference.
• Expertise and practical experience in using statistical machine learning, deep learning, data mining, information retrieval, optimization and Bayesian inference.
• Enhanced problem solving and data analysis skills.
• Effective communication skills, both verbal and written.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Design and build efficient models for predicting user interactions with ads and advertiser’s pages.
• Design and oversee large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.
• Design automation algorithms for advertisers using techniques from AI and ML to improve advertiser’s return on investment.
• Develop models for causal reasoning using techniques from AI, ML, and statistics.
• Embody our and