Microsoft Principal Applied Science Lead 

United States, Washington 

143438678

signals of user and advertiser intent as well as auction’s characteristic toin real-time or near-real-time which ads can enter the auctions. Our work directly

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experiencein applying any of the following areas in the industry: statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization, and Bayesian inference.
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experiencein applying any of the following areas in the industry: statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization, and Bayesian inference.
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experiencein applying any of the following areas in the industry: statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization, and Bayesian inference.
  • OR equivalent experience.
• 3 years of experience with computational advertising.

Preferred Qualifications:

• years of hands-on experience in applying any of the following areas in the industry: statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization, and Bayesian inference.
• 5years of experience with computational advertising
• A graduate degree in CS/EE or related quantitative field.
• 3years of experience in Automated Bidding or Budget Pacing.

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 December 2, 2024.

with development skills and a background in quantitative fields such as statistical machine learning, decision theory, operation research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design,control. They will play a key role inleading anddriving algorithmic improvements to online and offline systems,

Examples of what you may involve in:

• Designing, implementing, and analyzing bidding strategies using techniques from optimization, control theory.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.
• Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers’ return on investment.
• Developing models for causal reasoning using techniques from AI, ML, and statistics.
• Building datapipelinesand warehousing solutions to support rapid experimentation, robust metric dashboards, and quick insights and diagnostics.