Senior Applied Scientist-Signals Modeling

Our team ( Ads Signals Modeling) focuses on understanding and predicting how the user interacts with the ads on the search results page.

We are hiring a Senior Applied Scientist-Signals Modeling in Redmond, 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.

This position is for the modeling team, which builds machine learned models for predicting such events.

The team looks at all aspects of modeling including training data, features, the actual model (neural nets, linear models, decision trees etc.) and offline and online evaluation of those models. Engineers and scientists on our team work at the edge of machine learning and economics developing in the online stack as well as offline workflows.  At its core, our team utilizes signals of user and advertiser intent to determine which ads are allocated and at what price.  

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

We are looking for a Senior Applied Scientist-Signals Modeling with proven background in Machine Learning, Reinforcement Learning, Causal Inference, Data Science, Data Mining, or related field. 

Candidates should have a keen interest in  artificial intelligence and optimization at web scale.

They will play a key role in driving algorithmic improvements to online and offline systems, develop and deliver robust and scalable solutions, make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads.  

Embody our Culture  &  Values 

Qualifications

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 experience in any of the following areas statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and 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 preferred statistical machine learning, deep learnin