Microsoft Senior Applied Scientist-Signals Modeling 

United States, Washington 

555564845

m ( AdsSignals Modeling)focuses on understanding and predicting how the user interacts with the ads on the search results page.

inRedmond, WA.

The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction.

models for predicting such events.

) and offline and online evaluation of those models.machine learningsignals of user and advertiser intent towhich ads areand at what price.

Required/Minimum Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

• 4+ years of experiencein any of the following areas statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design,optimizationand Bayesian inference.

Additional or Preferred Qualifications:

• 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 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

• Research experience (publications) in the following areas is preferredstatistical machine learning, deep learning, data mining, causal inference, information retrieval, and Bayesian inference.

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

background in Machine Learning, Reinforcement Learning, Causal Inference, Data Science, Data Mining, or related

Embody our