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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)