Applied Scientist II -Bing Ads

Here is an excellent opportunity to work in Bing Ads core team, which selects the best ads for all Bing enabled traffic, millions per hour, and earn majority of Bing revenue.

We’re looking for an Applied Scientist II-Bing Ads in either Mountain View, CA or Redmond, WA to help us build next generation Counterfactual Platform to process huge log and predict key performance metrics of Bing Ads and tune it.

This position provides exposure to cutting edge algorithms and core components of the biggest counterfactual estimation platform for optimizing Sponsored Search Marketplace.

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

• Working on Causal Learning and Counterfactual Estimation.
• Working on Grid Search and Hyperparameter Optimization.
• Working on Machine Learning methods for Key Performance Indicators (KPI) Prediction.
• Working on Distributed Algorithms for Data Analytics and KPI Computation.
• Working on high fidelity offline simulation engine that replays online events.

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• 1+ year of statistical data analysis and processing.
• 1+ year of modeling/Machine Learning/Large Language Model experience.
• 1+ year of industrial scale problem solving experience.

Preferred Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering,
  • OR related field AND 5+ 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
• Knowledge in close loop controlling system.
• Proven experience in technical design, problem solving and debugging skills.

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

 Microsoft will accept applications for the role until June 16, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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