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Senior Applied Scientist

United States, Redmond 119800.00 - 234700.00 USD / Year · Job Posted February 17, 2026
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Job Description

The Signals Team at Microsoft Ads develops advanced machine learning models to predict user responses to advertisements. These predictive signals play a crucial role in enhancing user engagement and maximizing advertiser returns. As a Senior Applied Scientist on our team, you will design and implement large-scale machine learning models, driving their deployment into production and translating your expertise into tangible revenue impact.

Job Responsibility

  • Build large scale machine learning models for text and numerical data, deploy models in production
  • Run A/B testing, analyze impact of model metrics and possible model failure modes on business KPIs
  • Conduct data exploration and analysis of new features and model improvements
  • Establish scalable pipelines for data processing and analytics, model training and validation
  • Establish automated processes to monitor system health using agentic workflows
  • Track relevant state-of-the-art approaches in the field, identify and implement applications to improve the modeling stack
  • Mentor junior scientists

Requirements

  • 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
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check

Nice to have

  • 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
  • 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers)
  • Experience presenting at conferences or other events in the outside research/industry community as an invited speaker
  • 3+ years experience conducting research as part of a research program (in academic or industry settings)
  • 1+ year(s) experience developing and deploying live production systems, as part of a product team
  • 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping
  • 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience

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