Senior Applied Scientist

Microsoft • Redmond, WA

1d

About The Position

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. This role offers a unique opportunity to enhance your skills in building and deploying machine learning models at scale. You will gain invaluable experience analyzing model behavior within a complex, multi-layered model stack, and understanding the intricate interactions between various algorithms. Additionally, you will stay at the forefront of state-of-the-art approaches in this domain.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

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 are required for this role. These requirements include but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level