Senior Applied Scientist - M365 AIOps
Microsoft
Senior Applied Scientist - M365 AIOps
Suzhou, Jiangsu, China
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Overview
The EvalSet Generation Platform Team leads the development of world-class synthetic data technologies, bringing them into the core of Copilot and Agent offline evaluation and training data construction. Our mission is to redefine the boundaries of AI performance by leveraging high-quality synthetic data to accelerate Copilot’s journey toward its AlphaZero moment—a state of self-improving intelligence that sets a new benchmark for productivity and creativity.
We are looking for a passionate and growth-oriented Senior Applied Scientist to join our team. As an Applied Scientist, you will play a pivotal role in transforming how Copilot features are delivered across Microsoft 365. You’ll be part of the team building the Substrate platform that powers M365 Copilot, developing scalable algorithms and machine learning pipelines that drive innovation across Copilot Search, BizChat, Connectors, and Agents (DAs). This is a unique opportunity to work at the intersection of platform engineering and applied science, helping shape the future of AI-powered productivity.
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.
Qualifications
Required 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 applied science or data science experience.
- Solid communication skill in both English and Chinese.
Other Requirements:
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.
- 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.
- Experience in LLM is preferred.
Responsibilities
- Drive data exploration and analysis by collecting initial datasets, selecting appropriate analytical techniques, and applying foundational statistical methods to extract insights.
- Build and evaluate ML models by running modeling tools on prepared datasets, analyzing performance, and incorporating customer feedback to improve outcomes.
- Contribute to AI development by writing production-quality code for features or models, applying debugging best practices, and staying current with industry trends and methodologies.
- Champion customer-centric solutions by understanding business goals, identifying growth opportunities, and managing expectations throughout the project lifecycle.
- Collaborate cross-functionally with engineering and product teams to define success metrics, improve AI quality at scale, and shape how performance is measured across Copilot technologies.